Triple
T17829154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rosario Department |
E445202
|
entity |
| Predicate | contains |
P35
|
FINISHED |
| Object |
Zavalla
Zavalla is a town in the Rosario Department of Santa Fe Province, Argentina, known for its agricultural surroundings and small-town character.
|
E1291452
|
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: Zavalla | Statement: [Rosario Department, contains, Zavalla]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zavalla Context triple: [Rosario Department, contains, Zavalla]
-
A.
Warley
Warley is a suburban area in the West Midlands of England, historically associated with industrial growth and now part of the wider urban region around Oldbury and Birmingham.
-
B.
Warley
Warley is a locality within the Brentwood Borough of Essex, England, known primarily as a residential suburb with historical military and institutional connections.
-
C.
Ebersole
Ebersole is a surname most notably associated with American actress and singer Christine Ebersole.
-
D.
Firebaugh
Firebaugh is a small agricultural city in California’s San Joaquin Valley, known for its farming-based economy and rural community character.
-
E.
Harlen
Harlen is the given name of J Harlen Bretz, the American geologist known for his pioneering work on the Missoula Floods and the Channeled Scablands.
- 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: Zavalla Triple: [Rosario Department, contains, Zavalla]
Generated description
Zavalla is a town in the Rosario Department of Santa Fe Province, Argentina, known for its agricultural surroundings and small-town character.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Zavalla Target entity description: Zavalla is a town in the Rosario Department of Santa Fe Province, Argentina, known for its agricultural surroundings and small-town character.
-
A.
Warley
Warley is a suburban area in the West Midlands of England, historically associated with industrial growth and now part of the wider urban region around Oldbury and Birmingham.
-
B.
Warley
Warley is a locality within the Brentwood Borough of Essex, England, known primarily as a residential suburb with historical military and institutional connections.
-
C.
Ebersole
Ebersole is a surname most notably associated with American actress and singer Christine Ebersole.
-
D.
Firebaugh
Firebaugh is a small agricultural city in California’s San Joaquin Valley, known for its farming-based economy and rural community character.
-
E.
Harlen
Harlen is the given name of J Harlen Bretz, the American geologist known for his pioneering work on the Missoula Floods and the Channeled Scablands.
- 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_6a0306f3b0b881909b460809ac3ada92 |
completed | May 12, 2026, 10:54 a.m. |
| NEDg | Description generation | batch_6a030986606c819099a8ea86a3ef1c26 |
completed | May 12, 2026, 11:05 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0309e9e0108190bc1f60ddacef20cc |
completed | May 12, 2026, 11:07 a.m. |
Created at: April 10, 2026, 10:15 a.m.