Triple
T22173730
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pipil of Cuzcatlán |
E547988
|
entity |
| Predicate | mainLanguage |
P1252
|
FINISHED |
| Object | Nawat |
E911332
|
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: Nawat | Statement: [Pipil of Cuzcatlán, mainLanguage, Nawat]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nawat Context triple: [Pipil of Cuzcatlán, mainLanguage, Nawat]
-
A.
Nawat
chosen
Nawat is an indigenous Uto-Aztecan language of El Salvador, traditionally spoken by the Pipil people and now the focus of revitalization efforts.
-
B.
Nawa
Nawa is a town in southern Syria historically known as the birthplace of the prominent Islamic scholar Imam Al-Nawawi.
-
C.
Nawa
Nawa is a town in Helmand Province, Afghanistan, serving as the administrative and economic center of Nawa-I-Barakzayi District.
-
D.
Nawar
Nawar are a traditionally itinerant ethnic group of the Middle East, culturally and linguistically related to the Dom people and often associated with peripatetic trades and marginalized social status.
-
E.
Nawalane
Nawalane is a residential neighborhood located within the Lyari area of Karachi, Pakistan.
- 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_69e11e3d53f88190a2b690e3f25bb062 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12a6a9370819098ad65fede676c2b |
completed | April 28, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a9ec69cbc8190ac4dfde4443b5632 |
completed | May 18, 2026, 5:08 a.m. |
Created at: April 16, 2026, 8:34 p.m.