Triple
T15807262
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xalapa |
E383250
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Jalapa |
E316794
|
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: Jalapa | Statement: [Xalapa, alsoKnownAs, Jalapa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jalapa Context triple: [Xalapa, alsoKnownAs, Jalapa]
-
A.
Jalapa
chosen
Jalapa is the capital city of the Mexican state of Veracruz, known for its cool, misty climate, cultural institutions, and surrounding coffee-growing region.
-
B.
Tejutla
Tejutla is a municipality located in the highland region of western Guatemala, known for its rural communities and traditional agricultural activities.
-
C.
Tehuacán
Tehuacán is a major city in southeastern Mexico known historically for its mineral springs, agricultural production, and role as a regional commercial center.
-
D.
Chiautla
Chiautla is a municipality and town in the State of Mexico, known for its traditional festivals and location within the eastern part of the Mexico City metropolitan area.
-
E.
Jalapa de Díaz
Jalapa de Díaz is a town and municipality in the state of Oaxaca, Mexico, known for its indigenous Mazatec-speaking population and mountainous surroundings.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d86da2858c819090cc8481e7207b6e |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e0b52751348190964e82463ce9dd20 |
completed | April 16, 2026, 10:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff998fa5588190b28efc2f342405aa |
completed | May 9, 2026, 8:31 p.m. |
Created at: April 10, 2026, 4:48 a.m.