Triple
T16930456
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Xelajú |
E410690
|
entity |
| Predicate | isShortFormOf |
P2351
|
FINISHED |
| Object | Xelajú Noj |
E410690
|
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: Xelajú Noj | Statement: [Xelajú, isShortFormOf, Xelajú Noj]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Xelajú Noj Context triple: [Xelajú, isShortFormOf, Xelajú Noj]
-
A.
Xelajú
chosen
Xelajú is the traditional Kʼicheʼ Maya name and commonly used nickname for the Guatemalan city of Quetzaltenango, a major cultural and economic center in the country’s western highlands.
-
B.
Ajusco
Ajusco is a prominent volcanic mountain and national park in southern Mexico City, known for its high elevation, forests, and popular outdoor recreation areas.
-
C.
Maxtla
Maxtla was a Tepanec ruler of Azcapotzalco in pre-Columbian central Mexico, known for his aggressive expansionism and conflict with neighboring city-states such as Tenochtitlan.
-
D.
Huixtla
Huixtla is a municipality and commercial town in the Soconusco region of Chiapas, Mexico, known for its agricultural production and regional trade.
-
E.
Mixiuhca
Mixiuhca is a Mexico City Metro station on Line 9 serving the eastern part of the city.
- 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_69d886c886688190967be07322597ac9 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3cf248c6c81908fbf4d49e5381f08 |
completed | April 18, 2026, 6:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00d45c32a08190970137790d08f499 |
completed | May 10, 2026, 6:54 p.m. |
Created at: April 10, 2026, 5:30 a.m.