Triple
T18748439
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cutch State |
E458462
|
entity |
| Predicate | notableTown |
P14082
|
FINISHED |
| Object | Anjar |
—
|
NE NERFINISHED |
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: Anjar | Statement: [Cutch State, notableTown, Anjar]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anjar Context triple: [Cutch State, notableTown, Anjar]
-
A.
Anjar
chosen
Anjar is a historic town in the Kutch district of Gujarat, India, known for its traditional architecture and its devastation in the 2001 Gujarat earthquake.
-
B.
Anjar
Anjar is a historic town in Lebanon renowned for its well-preserved Umayyad-era archaeological site and distinctive urban layout.
-
C.
Sanjar
Sanjar was a prominent 12th-century Seljuk ruler who governed the eastern provinces of the empire and is often regarded as its last great sultan.
-
D.
Al-Kahla
Al-Kahla is a town located in southeastern Iraq within the Maysan Governorate, known for its proximity to the Mesopotamian marshlands and the Iran–Iraq border.
-
E.
Imghad
The Imghad are a social stratum within Tuareg society, traditionally serving as vassals or client communities under noble confederations such as the Kel Adagh in the central Sahara.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8d394dc308190b6725073f5db324c |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e579e9903c81908180c46012bd0948 |
completed | April 20, 2026, 12:57 a.m. |
Created at: April 10, 2026, 11:51 a.m.