Triple
T36952431
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yoloaiquín |
E914107
|
entity |
| Predicate | locatedInDepartmentCapitalCountry |
P205657
|
FINISHED |
| Object | San Francisco Gotera |
E914089
|
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: San Francisco Gotera | Statement: [Yoloaiquín, locatedInDepartmentCapitalCountry, San Francisco Gotera]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locatedInDepartmentCapitalCountry Context triple: [Yoloaiquín, locatedInDepartmentCapitalCountry, San Francisco Gotera]
-
A.
hasDepartmentCapital
Indicates that a department has a specific city designated as its capital.
-
B.
locatedInCountryCapitalSystem
Indicates that an entity is situated in the capital city of a specified country within a country–capital relationship system.
-
C.
hasCountryCapitalOfDepartment
Indicates that a specific country serves as the capital or primary governing nation associated with a particular department.
-
D.
locatedInCountryCapitalLanguage
Indicates that an entity is located in a country’s capital city where a specified language is used or officially recognized.
-
E.
governingCountryCapitalLocatedIn
Indicates that the capital city of a governing country is geographically located within a specified territory or region.
- 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_69f76e8b28848190abd81fe7a7374910 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_6a037cad051c8190b28b354b89208574 |
completed | May 12, 2026, 7:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a3e2c385c0081908cef7f3e8b5c885e |
completed | June 26, 2026, 7:37 a.m. |
| PD | Predicate disambiguation | batch_6a037a10036481909c71188b2a0e7f04 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c842b2c819082f1d2db995ac2eb |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4:13 p.m.