Triple
T7444169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sarai |
E171829
|
entity |
| Predicate | associatedWithPlace |
P2830
|
FINISHED |
| Object | Haran |
E52250
|
NE FINISHED |
How this triple was built (2 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: Haran | Statement: [Sarai, associatedWithPlace, Haran]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Haran Context triple: [Sarai, associatedWithPlace, Haran]
-
A.
Haran
chosen
Haran is an ancient city in northern Mesopotamia known from the Hebrew Bible as a key dwelling place of the patriarch Abraham before his journey to Canaan.
-
B.
Hapur
Hapur is a city in the Indian state of Uttar Pradesh, known as an industrial and grain market hub within the Delhi metropolitan area.
-
C.
Bashan
Bashan is a historically significant region east of the Jordan River, renowned in biblical texts for its fertile lands, strong cities, and mighty cattle.
-
D.
Kiryat Ata
Kiryat Ata is a city in northern Israel that forms part of the Haifa metropolitan area and serves as a local commercial and residential center.
-
E.
Bettiah
Bettiah is a prominent town and administrative center in the West Champaran district of the Indian state of Bihar, known historically for its role in the indigo movement and regional trade.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c68a65402881908f7869368eb746fb |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f36e9a588190b54b8bae181fc971 |
completed | March 27, 2026, 9:15 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c827a1bdf48190a0bf217044fb05f8 |
completed | March 28, 2026, 7:10 p.m. |
Created at: March 27, 2026, 3:13 p.m.