Triple
T7069265
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cole Ranch AVA |
E164642
|
entity |
| Predicate | hasDesignation |
P974
|
FINISHED |
| Object | AVA |
E31650
|
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: AVA | Statement: [Cole Ranch AVA, hasDesignation, AVA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: AVA Context triple: [Cole Ranch AVA, hasDesignation, AVA]
-
A.
AVA
chosen
AVA is a designated American wine grape-growing region recognized for its unique geographic and climatic features that influence the character of wines produced there.
-
B.
AVA
AVA is the ICAO airline designator used to identify Avianca, the flag carrier of Colombia, in international aviation operations.
-
C.
AVA
AVA is a song featured on the album "TattleTales."
-
D.
AV
AV is the two-letter IATA airline designator assigned to Avianca, the flag carrier of Colombia and one of Latin America’s largest airlines.
-
E.
AVE
AVE is Spain’s high-speed rail service, connecting major cities like Madrid and Barcelona with fast, long-distance trains.
- 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_69c6887b96548190a8a9b3ac8adf4119 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6e4aa82108190bacd5584c1c78999 |
completed | March 27, 2026, 8:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c794552c108190adfbbcae38c91a28 |
completed | March 28, 2026, 8:41 a.m. |
Created at: March 27, 2026, 2:39 p.m.