Triple
T22774486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Denomination of Origin Colchagua Valley |
E563655
|
entity |
| Predicate | notableSubregion |
P9956
|
FINISHED |
| Object |
Apalta
Apalta is a renowned Chilean winegrowing area within the Colchagua Valley, celebrated for its premium red wines, particularly from Carmenère, Cabernet Sauvignon, and Syrah.
|
E1554952
|
NE FINISHED |
How this triple was built (4 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: Apalta | Statement: [Denomination of Origin Colchagua Valley, notableSubregion, Apalta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Apalta Context triple: [Denomination of Origin Colchagua Valley, notableSubregion, Apalta]
-
A.
Topete
Topete is a Spanish surname associated with notable figures such as admiral Pascual Cervera y Topete.
-
B.
Tezonco
Tezonco is a metro station in Mexico City that serves the southeastern area of the city on the capital’s rapid transit network.
-
C.
Tapalhuaca
Tapalhuaca is a municipality in central El Salvador known for its rural character and location within the La Paz Department.
-
D.
Tafoya
Tafoya is the surname of Michele Tafoya, a prominent American sportscaster best known for her work as an NFL sideline reporter.
-
E.
Tepecoyo
Tepecoyo is a small municipality in western El Salvador known for its indigenous Pipil heritage and traditional rural character.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Apalta Triple: [Denomination of Origin Colchagua Valley, notableSubregion, Apalta]
Generated description
Apalta is a renowned Chilean winegrowing area within the Colchagua Valley, celebrated for its premium red wines, particularly from Carmenère, Cabernet Sauvignon, and Syrah.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Apalta Target entity description: Apalta is a renowned Chilean winegrowing area within the Colchagua Valley, celebrated for its premium red wines, particularly from Carmenère, Cabernet Sauvignon, and Syrah.
-
A.
Topete
Topete is a Spanish surname associated with notable figures such as admiral Pascual Cervera y Topete.
-
B.
Tezonco
Tezonco is a metro station in Mexico City that serves the southeastern area of the city on the capital’s rapid transit network.
-
C.
Tapalhuaca
Tapalhuaca is a municipality in central El Salvador known for its rural character and location within the La Paz Department.
-
D.
Tafoya
Tafoya is the surname of Michele Tafoya, a prominent American sportscaster best known for her work as an NFL sideline reporter.
-
E.
Tepecoyo
Tepecoyo is a small municipality in western El Salvador known for its indigenous Pipil heritage and traditional rural character.
- F. None of above. chosen
Provenance (5 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_69e24554497c819080b996e071de27c2 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17b60eec48190b0aaf3eb7ede38d4 |
completed | April 29, 2026, 3:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0b9e8c5aac8190b3c9d22676205c8e |
completed | May 18, 2026, 11:19 p.m. |
| NEDg | Description generation | batch_6a0b9f73032481908f0df881801de5b2 |
completed | May 18, 2026, 11:23 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0ba068def08190b22058cf5bd76b4f |
completed | May 18, 2026, 11:27 p.m. |
Created at: April 17, 2026, 3:27 p.m.