Triple
T11328836
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antz |
E268291
|
entity |
| Predicate | character |
P662
|
FINISHED |
| Object | Azteca |
E413213
|
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: Azteca | Statement: [Antz, character, Azteca]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Azteca Context triple: [Antz, character, Azteca]
-
A.
Azteca
chosen
Azteca is a genus of arboreal ants native primarily to the Neotropics, known for forming mutualistic relationships with plants such as Cecropia trees.
-
B.
Azteca América
Azteca América was a U.S.-based Spanish-language television network targeting Hispanic audiences with a mix of telenovelas, news, and entertainment programming from Mexico’s TV Azteca.
-
C.
Tianguistenco
Tianguistenco is a municipality in the State of Mexico known for its industrial activity and proximity to Toluca in central Mexico.
-
D.
Atacameño
The Atacameño are an indigenous people of the Atacama Desert region in northern Chile, known for their ancient agricultural traditions, oasis settlements, and rich pre-Columbian cultural heritage.
-
E.
Muspilli
Muspilli is an Old High German eschatological poem that vividly depicts the Last Judgment and the end of the world.
- 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_69d6aacb1f0881908c84a349fd1be047 |
completed | April 8, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69d7e9e330008190b75490efde01dc59 |
completed | April 9, 2026, 6:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e5261770ac8190b8fc7e2099aa8ace |
completed | April 19, 2026, 6:59 p.m. |
Created at: April 8, 2026, 9:32 p.m.