Triple
T15276997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kilba people |
E365166
|
entity |
| Predicate | majorTown |
P316
|
FINISHED |
| Object |
Mayo-Lope
Mayo-Lope is a principal town associated with the Kilba people, serving as one of their key population and cultural centers.
|
E1147988
|
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: Mayo-Lope | Statement: [Kilba people, majorTown, Mayo-Lope]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mayo-Lope Context triple: [Kilba people, majorTown, Mayo-Lope]
-
A.
Magaña
Magaña is a Spanish-language surname of Hispanic origin borne by various notable individuals in Mexico and other Spanish-speaking countries.
-
B.
Balderas
Balderas is a major Mexico City Metro station known for its central location and high passenger traffic.
-
C.
López-Salido
López-Salido is a Spanish surname most notably associated with economist J. David López-Salido, known for his work in macroeconomics and monetary policy.
-
D.
Machado
Machado is a surname most prominently associated with Manny Machado, an All-Star Major League Baseball third baseman and shortstop.
-
E.
Montúfar
Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
- 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: Mayo-Lope Triple: [Kilba people, majorTown, Mayo-Lope]
Generated description
Mayo-Lope is a principal town associated with the Kilba people, serving as one of their key population and cultural centers.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mayo-Lope Target entity description: Mayo-Lope is a principal town associated with the Kilba people, serving as one of their key population and cultural centers.
-
A.
Magaña
Magaña is a Spanish-language surname of Hispanic origin borne by various notable individuals in Mexico and other Spanish-speaking countries.
-
B.
Balderas
Balderas is a major Mexico City Metro station known for its central location and high passenger traffic.
-
C.
López-Salido
López-Salido is a Spanish surname most notably associated with economist J. David López-Salido, known for his work in macroeconomics and monetary policy.
-
D.
Machado
Machado is a surname most prominently associated with Manny Machado, an All-Star Major League Baseball third baseman and shortstop.
-
E.
Montúfar
Montúfar is a Spanish-origin surname historically associated with notable figures in Latin American colonial and independence-era history.
- 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_69d85a103d9081908c1ea6c4c73ac8e3 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e00953bc848190b83919f39d5ee37b |
completed | April 15, 2026, 9:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef734f488190951d029183d456f5 |
completed | May 9, 2026, 8:25 a.m. |
| NEDg | Description generation | batch_69fef154c11c8190b07efafe1252d8eb |
completed | May 9, 2026, 8:33 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fef1b895f08190bedf6274b70f6d90 |
completed | May 9, 2026, 8:35 a.m. |
Created at: April 10, 2026, 3:14 a.m.