Triple
T6561724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tektitek |
E153798
|
entity |
| Predicate | alternateName |
P39
|
FINISHED |
| Object | Tectiteco |
E153798
|
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: Tectiteco | Statement: [Tektitek, alternateName, Tectiteco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tectiteco Context triple: [Tektitek, alternateName, Tectiteco]
-
A.
Kykotsmovi
Kykotsmovi is a Hopi village and census-designated place located on the Hopi Reservation in northeastern Arizona.
-
B.
Jakalteko
Jakalteko is a Mayan language spoken primarily by the Jakaltek people in the Huehuetenango region of Guatemala.
-
C.
Tektitek
chosen
Tektitek is a Mayan language spoken primarily by the Tektiteko people in parts of Guatemala and Mexico.
-
D.
Telica
Telica is an active stratovolcano in western Nicaragua known for its frequent eruptions and prominent volcanic crater.
-
E.
Tezonco
Tezonco is a metro station in Mexico City that serves the southeastern area of the city on the capital’s rapid transit network.
- 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_69c6880cb35881909b763eb0125236b9 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae38e94081908f964d130f9147d8 |
completed | March 27, 2026, 4:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6e42523848190b02682e6a640ac05 |
completed | March 27, 2026, 8:10 p.m. |
Created at: March 27, 2026, 1:52 p.m.