Triple
T16230273
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boselaphus |
E393958
|
entity |
| Predicate | includes |
P1393
|
FINISHED |
| Object | nilgai |
E271233
|
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: nilgai | Statement: [Boselaphus, includes, nilgai]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: nilgai Context triple: [Boselaphus, includes, nilgai]
-
A.
nilgai
chosen
The nilgai is a large Asian antelope native to the Indian subcontinent, recognizable by its sturdy build, bluish-gray males, and preference for open plains and scrub forests.
-
B.
Kajo-Keji
Kajo-Keji is a prominent town in South Sudan known for its location near the Ugandan border and its role as an important local administrative and trading center.
-
C.
Babra
Babra is a town in the Amreli district of Gujarat, India, known as a local commercial and administrative center for the surrounding rural region.
-
D.
Tragulus
Tragulus is a genus of small, primitive hoofed mammals known as mouse-deer or chevrotains, native to the forests of Southeast Asia.
-
E.
Nattier
Nattier is a French surname most famously associated with Jean-Marc Nattier, an 18th-century painter known for his portraits of the ladies of Louis XV’s court.
- 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_69d87f204df88190a8f88923decf9835 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e23d29438c81909aa2724cc47bb959 |
completed | April 17, 2026, 2:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0007a0ab08819082aea4c312c9ffc7 |
completed | May 10, 2026, 4:20 a.m. |
Created at: April 10, 2026, 5:03 a.m.