Triple
T7628049
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chichimeca peoples |
E172685
|
entity |
| Predicate | includedGroup |
P1393
|
FINISHED |
| Object | Pame |
E195259
|
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: Pame | Statement: [Chichimeca peoples, includedGroup, Pame]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pame Context triple: [Chichimeca peoples, includedGroup, Pame]
-
A.
Pame
chosen
Pame is an indigenous language (or group of closely related languages) of central Mexico belonging to the Oto-Manguean language family.
-
B.
Paquisha
Paquisha is a locality in southeastern Ecuador known primarily for giving its name to the 1981 Paquisha War between Ecuador and Peru.
-
C.
Nicippe
Nicippe is a lesser-known female figure in Greek mythology associated with the heroic lineage of the House of Perseus.
-
D.
Pasochoa
Pasochoa is an extinct volcanic mountain in Ecuador known for its lush cloud forests and rich biodiversity within a protected ecological reserve.
-
E.
Maraita
Maraita is a small municipality located in the Francisco Morazán Department of central Honduras.
- 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_69c699517e348190bd3348b6889200f2 |
completed | March 27, 2026, 2:50 p.m. |
| NER | Named-entity recognition | batch_69c6fa831f508190ab2f72326cdf4497 |
completed | March 27, 2026, 9:45 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c870af222481909e341eebb78664d6 |
completed | March 29, 2026, 12:22 a.m. |
Created at: March 27, 2026, 3:56 p.m.