Triple
T19118931
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zapotecs |
E467984
|
entity |
| Predicate | majorUrbanCenter |
P9892
|
FINISHED |
| Object | Lambityeco |
—
|
NE NERFINISHED |
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: Lambityeco | Statement: [Zapotecs, majorUrbanCenter, Lambityeco]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lambityeco Context triple: [Zapotecs, majorUrbanCenter, Lambityeco]
-
A.
Lambityeco
chosen
Lambityeco is an important archaeological site in Oaxaca, Mexico, known for its Zapotec ruins, elaborate tombs, and distinctive stucco friezes.
-
B.
Lambie
Lambie is a sweet, cuddly stuffed lamb who serves as Doc McStuffins' affectionate best friend and toy nurse in the children's animated series.
-
C.
Luxettipet
Luxettipet is a town in the Mancherial district of Telangana, India, known as a local commercial and administrative center on the banks of the Godavari River.
-
D.
Rumbelows
Rumbelows was a British high-street electrical and electronics retail chain that operated primarily in the late 20th century.
-
E.
Lampie
Lampie is a supporting character known as the kindly but often inebriated lighthouse keeper in Disney’s film "Pete’s Dragon."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd06a26481908039e2a1bae8c597 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5e3c756a88190942930e6ae7242a7 |
completed | April 20, 2026, 8:28 a.m. |
Created at: April 10, 2026, 12:05 p.m.