Triple
T17225017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saint George Parish |
E418091
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Tempe
Tempe is a locality within Saint George Parish on the Caribbean island nation of Grenada.
|
E1258767
|
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: Tempe | Statement: [Saint George Parish, contains, Tempe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tempe Context triple: [Saint George Parish, contains, Tempe]
-
A.
Tempe
Tempe is a city in the Phoenix metropolitan area of Arizona, known for being home to Arizona State University and its vibrant college-town atmosphere.
-
B.
Tempe
Tempe is a town in South Sulawesi, Indonesia, serving as the administrative center of Wajo Regency.
-
C.
Tucson
Tucson is a major city in southern Arizona known for its desert landscape, rich Native American and Mexican cultural influences, and the University of Arizona.
-
D.
Tempe Valley
Tempe Valley is a narrow, scenic gorge in the region of Thessaly in central Greece, historically renowned for its natural beauty and mythological associations.
-
E.
Phoenix, Arizona
Phoenix, Arizona is the capital and largest city of the U.S. state of Arizona, known for its desert climate, sprawling metropolitan area, and role as a major economic and cultural center of the American Southwest.
- 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: Tempe Triple: [Saint George Parish, contains, Tempe]
Generated description
Tempe is a locality within Saint George Parish on the Caribbean island nation of Grenada.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tempe Target entity description: Tempe is a locality within Saint George Parish on the Caribbean island nation of Grenada.
-
A.
Tempe
Tempe is a city in the Phoenix metropolitan area of Arizona, known for being home to Arizona State University and its vibrant college-town atmosphere.
-
B.
Tempe
Tempe is a town in South Sulawesi, Indonesia, serving as the administrative center of Wajo Regency.
-
C.
Tucson
Tucson is a major city in southern Arizona known for its desert landscape, rich Native American and Mexican cultural influences, and the University of Arizona.
-
D.
Tempe Valley
Tempe Valley is a narrow, scenic gorge in the region of Thessaly in central Greece, historically renowned for its natural beauty and mythological associations.
-
E.
Phoenix, Arizona
Phoenix, Arizona is the capital and largest city of the U.S. state of Arizona, known for its desert climate, sprawling metropolitan area, and role as a major economic and cultural center of the American Southwest.
- 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_69d886d779488190b131369541c04e7d |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e42de0a8dc819093d9c8fb4f80342c |
completed | April 19, 2026, 1:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0170ed74688190b15ef6d7e0cebe86 |
completed | May 11, 2026, 6:02 a.m. |
| NEDg | Description generation | batch_6a017293d9588190a05faed14c668cc0 |
completed | May 11, 2026, 6:09 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0173423b448190816d10ad7b06da17 |
completed | May 11, 2026, 6:12 a.m. |
Created at: April 10, 2026, 5:38 a.m.