Triple
T2789724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Rioja Province |
E61898
|
entity |
| Predicate | hasCity |
P316
|
FINISHED |
| Object |
Chepes
Chepes is a small city in western Argentina that serves as an important local center within La Rioja Province.
|
E298903
|
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: Chepes | Statement: [La Rioja Province, hasCity, Chepes]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chepes Context triple: [La Rioja Province, hasCity, Chepes]
-
A.
Fez
Fez is a historic imperial city in northern Morocco renowned for its well-preserved medieval medina, traditional craftsmanship, and status as a major cultural and religious center.
-
B.
Pericos
Pericos is the popular nickname for Spanish football club RCD Espanyol and its supporters.
-
C.
Capcir
Capcir is a high-altitude plateau and historical region in the eastern Pyrenees of southern France, known for its mountain landscapes, lakes, and Catalan cultural heritage.
-
D.
Chiers
The Chiers is a river in Western Europe that flows through Luxembourg, Belgium, and France before joining the Meuse.
-
E.
Vinzelles
Vinzelles is a small wine-producing village in France’s Mâconnais region, known for its white Burgundy wines made primarily from Chardonnay.
- 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: Chepes Triple: [La Rioja Province, hasCity, Chepes]
Generated description
Chepes is a small city in western Argentina that serves as an important local center within La Rioja Province.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chepes Target entity description: Chepes is a small city in western Argentina that serves as an important local center within La Rioja Province.
-
A.
Fez
Fez is a historic imperial city in northern Morocco renowned for its well-preserved medieval medina, traditional craftsmanship, and status as a major cultural and religious center.
-
B.
Pericos
Pericos is the popular nickname for Spanish football club RCD Espanyol and its supporters.
-
C.
Capcir
Capcir is a high-altitude plateau and historical region in the eastern Pyrenees of southern France, known for its mountain landscapes, lakes, and Catalan cultural heritage.
-
D.
Chiers
The Chiers is a river in Western Europe that flows through Luxembourg, Belgium, and France before joining the Meuse.
-
E.
Vinzelles
Vinzelles is a small wine-producing village in France’s Mâconnais region, known for its white Burgundy wines made primarily from Chardonnay.
- 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_69ab4b7f51d881908768300ebd2fbdae |
completed | March 6, 2026, 9:47 p.m. |
| NER | Named-entity recognition | batch_69abddb4ef3081909122840a357801bf |
completed | March 7, 2026, 8:11 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc6589558819088442f09db328dac |
completed | March 10, 2026, 7:20 a.m. |
| NEDg | Description generation | batch_69afc6d485d88190b281abec460ff24d |
completed | March 10, 2026, 7:23 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69afc750fee08190bf3c112f6f204af4 |
completed | March 10, 2026, 7:25 a.m. |
Created at: March 6, 2026, 9:58 p.m.