Triple
T3992208
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ledo, Assam, India |
E87016
|
entity |
| Predicate | near |
P350
|
FINISHED |
| Object | Digboi |
E173760
|
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: Digboi | Statement: [Ledo, Assam, India, near, Digboi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Digboi Context triple: [Ledo, Assam, India, near, Digboi]
-
A.
Digboi oil field
chosen
Digboi oil field is one of the oldest producing oil fields in the world, located in Assam, India, and historically significant as the site of early oil exploration in Asia.
-
B.
Benipur
Benipur is a town in the Darbhanga region of the Indian state of Bihar, known as a local center of trade and daily commerce.
-
C.
Derawali
Derawali is a regional dialect of the Saraiki language spoken primarily in and around the Dera Ghazi Khan and Dera Ismail Khan areas of Pakistan.
-
D.
Kasarani
Kasarani is a residential and commercial suburb in northeastern Nairobi, Kenya, known for hosting major sports and educational facilities.
-
E.
Barvikha
Barvikha is an affluent suburban settlement west of Moscow, known for its luxury residences, elite dachas, and high-profile residents from Russia’s political and business elite.
- 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_69aed94118148190975e6aa4e554cde9 |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aefa1c476c819094063f654aa015c4 |
completed | March 9, 2026, 4:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b54035e92c81909dc2be18719b062c |
completed | March 14, 2026, 11:02 a.m. |
Created at: March 9, 2026, 3:33 p.m.