Triple
T17829147
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosario Department |
E445202
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Alvear
Alvear is a town in the Rosario Department of Santa Fe Province, Argentina, functioning as part of the greater Rosario metropolitan area.
|
E1295537
|
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: Alvear | Statement: [Rosario Department, contains, Alvear]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Alvear Context triple: [Rosario Department, contains, Alvear]
-
A.
Bustos
Bustos is a municipality in the province of Bulacan in the Philippines, known for its agricultural communities and the Bustos Dam.
-
B.
Junín
Junín is a rural municipality in the Cundinamarca Department of central Colombia, known for its Andean landscapes and agricultural economy.
-
C.
Junín
Junín is a central highland region of Peru known for its Andean landscapes, rich mining and agricultural activities, and historical role in Peru’s independence.
-
D.
Junín
Junín is a major oil-producing area within Venezuela’s Orinoco Belt, known for its vast extra-heavy crude reserves.
-
E.
Cerro Mejía
Cerro Mejía is an important archaeological site in the Andes associated with the Middle Horizon period, notable for its role as a regional center of Wari-era occupation and activity.
- 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: Alvear Triple: [Rosario Department, contains, Alvear]
Generated description
Alvear is a town in the Rosario Department of Santa Fe Province, Argentina, functioning as part of the greater Rosario metropolitan area.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Alvear Target entity description: Alvear is a town in the Rosario Department of Santa Fe Province, Argentina, functioning as part of the greater Rosario metropolitan area.
-
A.
Bustos
Bustos is a municipality in the province of Bulacan in the Philippines, known for its agricultural communities and the Bustos Dam.
-
B.
Junín
Junín is a rural municipality in the Cundinamarca Department of central Colombia, known for its Andean landscapes and agricultural economy.
-
C.
Junín
Junín is a central highland region of Peru known for its Andean landscapes, rich mining and agricultural activities, and historical role in Peru’s independence.
-
D.
Junín
Junín is a major oil-producing area within Venezuela’s Orinoco Belt, known for its vast extra-heavy crude reserves.
-
E.
Cerro Mejía
Cerro Mejía is an important archaeological site in the Andes associated with the Middle Horizon period, notable for its role as a regional center of Wari-era occupation and activity.
- 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_69d8b9f1a6d881909f024bc603111cdb |
completed | April 10, 2026, 8:50 a.m. |
| NER | Named-entity recognition | batch_69e4891696cc819092ee6db7c4a6fae1 |
completed | April 19, 2026, 7:49 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a031b18f3308190a847d0922c090fdb |
completed | May 12, 2026, 12:20 p.m. |
| NEDg | Description generation | batch_6a031c3658988190b59fa17d616cad9b |
completed | May 12, 2026, 12:25 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a031c9914dc819099da3b2174a5fbc7 |
completed | May 12, 2026, 12:27 p.m. |
Created at: April 10, 2026, 10:15 a.m.