Triple
T26759520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jorge Valdano |
E674760
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Las Parejas, Santa Fe, Argentina
Las Parejas, Santa Fe, Argentina is a small city in the province of Santa Fe known as the birthplace of former footballer and World Cup–winning coach Jorge Valdano.
|
E1740369
|
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: Las Parejas, Santa Fe, Argentina | Statement: [Jorge Valdano, placeOfBirth, Las Parejas, Santa Fe, Argentina]
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: Las Parejas, Santa Fe, Argentina Triple: [Jorge Valdano, placeOfBirth, Las Parejas, Santa Fe, Argentina]
Generated description
Las Parejas, Santa Fe, Argentina is a small city in the province of Santa Fe known as the birthplace of former footballer and World Cup–winning coach Jorge Valdano.
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_69eecda6e9dc81908452fab3ba17ed9b |
completed | April 27, 2026, 2:44 a.m. |
| NER | Named-entity recognition | batch_69f618dafb6c8190b4f53a7fcbf967e3 |
completed | May 2, 2026, 3:31 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a120949c7648190851c39c519db4c69 |
completed | May 23, 2026, 8:08 p.m. |
| NEDg | Description generation | batch_6a120a10905c819096fa77fad68b6bb8 |
completed | May 23, 2026, 8:12 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a120aeed5ec819097f7ac08533bcf65 |
completed | May 23, 2026, 8:15 p.m. |
Created at: April 27, 2026, 3:57 a.m.