Triple
T19420587
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Orange Free State Province |
E485840
|
entity |
| Predicate | containsCity |
P294
|
FINISHED |
| Object |
Bethlehem
Bethlehem is a town in the eastern Free State province of South Africa, known as an agricultural and commercial center in the region.
|
E1375804
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Bethlehem | Statement: [Orange Free State Province, containsCity, Bethlehem]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bethlehem Context triple: [Orange Free State Province, containsCity, Bethlehem]
-
A.
Bethlehem
Bethlehem is an ancient town in the West Bank historically revered as the birthplace of Jesus and a major center of Christian pilgrimage.
-
B.
Bethlehem
Bethlehem is a suburban town in Albany County, New York, known for its residential communities, schools, and proximity to the city of Albany.
-
C.
Bethlehem
Bethlehem is a small rural town in western Connecticut known for its historic charm and traditional New England character.
-
D.
Bethlehem
Bethlehem is a historic city in eastern Pennsylvania known for its former steel industry, vibrant arts scene, and role as home to Lehigh University.
-
E.
Bethlehem
Bethlehem is a suburb of Tauranga in New Zealand’s Bay of Plenty region, known for its strong Māori presence and community facilities, including marae associated with local iwi.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Bethlehem Triple: [Orange Free State Province, containsCity, Bethlehem]
Generated description
Bethlehem is a town in the eastern Free State province of South Africa, known as an agricultural and commercial center in the region.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Bethlehem Target entity description: Bethlehem is a town in the eastern Free State province of South Africa, known as an agricultural and commercial center in the region.
-
A.
Bethlehem
Bethlehem is an ancient town in the West Bank historically revered as the birthplace of Jesus and a major center of Christian pilgrimage.
-
B.
Bethlehem
Bethlehem is a suburban town in Albany County, New York, known for its residential communities, schools, and proximity to the city of Albany.
-
C.
Bethlehem
Bethlehem is a small rural town in western Connecticut known for its historic charm and traditional New England character.
-
D.
Bethlehem
Bethlehem is a historic city in eastern Pennsylvania known for its former steel industry, vibrant arts scene, and role as home to Lehigh University.
-
E.
Bethlehem
Bethlehem is a suburb of Tauranga in New Zealand’s Bay of Plenty region, known for its strong Māori presence and community facilities, including marae associated with local iwi.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69d8e8d688f881909c85104a62e09d8a |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e63214d768819082129100d7116521 |
completed | April 20, 2026, 2:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0733d1d4148190b7dae069a76e7041 |
completed | May 15, 2026, 2:55 p.m. |
| NEDg | Description generation | batch_6a0735ce9a348190af1d3f58f1bb26cd |
completed | May 15, 2026, 3:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0736c250708190a6f9ac2364038432 |
completed | May 15, 2026, 3:07 p.m. |
Created at: April 10, 2026, 1:37 p.m.