Triple
T207203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nazareth |
E4634
|
entity |
| Predicate | hasSite |
P1205
|
FINISHED |
| Object |
Nazareth Village
Nazareth Village is a living history museum in Nazareth that reconstructs and reenacts daily life in a first-century Galilean village.
|
E4634
|
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: Nazareth Village | Statement: [Nazareth, hasSite, Nazareth Village]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nazareth Village Context triple: [Nazareth, hasSite, Nazareth Village]
-
A.
Safed
Safed is a historic hilltop city in northern Israel renowned as one of Judaism’s four holy cities and a major center of Jewish mysticism (Kabbalah).
-
B.
Jericho
Jericho is an ancient city in the West Bank, often regarded as one of the oldest continuously inhabited settlements in the world and noted for its biblical significance.
-
C.
Eglah
Eglah is a lesser-known wife of the biblical King David, mentioned among the mothers of his sons in the Hebrew Bible.
-
D.
Nazareth
Nazareth is a historic town in modern-day Israel best known as the childhood home of Jesus and a major center of Christian pilgrimage.
-
E.
Bethlehem
Bethlehem is an ancient town in the West Bank historically revered as the birthplace of Jesus and a major center of Christian pilgrimage.
- 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: Nazareth Village Triple: [Nazareth, hasSite, Nazareth Village]
Generated description
Nazareth Village is a living history museum in Nazareth that reconstructs and reenacts daily life in a first-century Galilean village.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Nazareth Village Target entity description: Nazareth Village is a living history museum in Nazareth that reconstructs and reenacts daily life in a first-century Galilean village.
-
A.
Safed
Safed is a historic hilltop city in northern Israel renowned as one of Judaism’s four holy cities and a major center of Jewish mysticism (Kabbalah).
-
B.
Jericho
Jericho is an ancient city in the West Bank, often regarded as one of the oldest continuously inhabited settlements in the world and noted for its biblical significance.
-
C.
Eglah
Eglah is a lesser-known wife of the biblical King David, mentioned among the mothers of his sons in the Hebrew Bible.
-
D.
Nazareth
chosen
Nazareth is a historic town in modern-day Israel best known as the childhood home of Jesus and a major center of Christian pilgrimage.
-
E.
Bethlehem
Bethlehem is an ancient town in the West Bank historically revered as the birthplace of Jesus and a major center of Christian pilgrimage.
- F. None of above.
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_69a25737567c81908f9c505300239181 |
completed | Feb. 28, 2026, 2:47 a.m. |
| NER | Named-entity recognition | batch_69a25c0601bc81909a268ca9e751d5bb |
completed | Feb. 28, 2026, 3:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a35e9fb768819087282451ec8051b0 |
completed | Feb. 28, 2026, 9:31 p.m. |
| NEDg | Description generation | batch_69a35f07ea20819087d55fab8b6ab53f |
completed | Feb. 28, 2026, 9:32 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a35f70a7808190a3620493eb8238e3 |
completed | Feb. 28, 2026, 9:34 p.m. |
Created at: Feb. 28, 2026, 2:51 a.m.