Triple
T13250539
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Angora goat |
E315514
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Ankara goat |
E315514
|
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: Ankara goat | Statement: [Angora goat, alsoKnownAs, Ankara goat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ankara goat Context triple: [Angora goat, alsoKnownAs, Ankara goat]
-
A.
Gama Goat
Gama Goat is a six-wheel-drive, semi-amphibious military vehicle used by the U.S. Army during the Vietnam War era, known for its articulated design and off-road capability.
-
B.
Angora goat
chosen
The Angora goat is a domestic goat breed renowned for producing mohair, a luxurious, silky fiber used in high-quality textiles.
-
C.
Saanen goats
Saanen goats are a Swiss dairy breed known for their high milk production, large size, and typically white or cream-colored coat.
-
D.
Manech sheep
Manech sheep are a hardy dairy breed from the Pyrenees in southwestern France, best known for producing the milk used in traditional Basque and Béarn cheeses.
-
E.
Angora
Angora is the former Western name for Ankara, the capital city of modern Turkey.
- 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_69d806b1072881909e46bd212259c5f0 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98f71c5388190a6e122e14384efd7 |
completed | April 11, 2026, 12:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6ff393898819083bdf726466fcbe0 |
completed | May 3, 2026, 7:54 a.m. |
Created at: April 9, 2026, 9:24 p.m.