Triple
T21325310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rafael Topete |
E525737
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | Topete |
—
|
NE NERFINISHED |
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: Topete | Statement: [Rafael Topete, hasFamilyName, Topete]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Topete Context triple: [Rafael Topete, hasFamilyName, Topete]
-
A.
Topete
chosen
Topete is a Spanish surname associated with notable figures such as admiral Pascual Cervera y Topete.
-
B.
Chiapa de Corzo
Chiapa de Corzo is a historic colonial town in the Mexican state of Chiapas, known for its traditional festivals, Mudejar-style architecture, and role as a gateway to the Sumidero Canyon.
-
C.
Tepecoyo
Tepecoyo is a small municipality in western El Salvador known for its indigenous Pipil heritage and traditional rural character.
-
D.
San Luis Talpa
San Luis Talpa is a municipality in the La Paz department of El Salvador, located near the country’s main international airport and known for its role as a transit and service hub for travelers.
-
E.
Poncitlán
Poncitlán is a municipality and town in the Mexican state of Jalisco, known for its agricultural activity and proximity to Lake Chapala.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b51b90788190a4dd823d962626da |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e7ab4843088190a4fa1cc87f0ca824 |
completed | April 21, 2026, 4:52 p.m. |
Created at: April 16, 2026, 4:41 p.m.