Triple
T13061144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Piedras Negras |
E329197
|
entity |
| Predicate | hasNeighboringSite |
P108252
|
FINISHED |
| Object | Pomona |
E629251
|
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: Pomona | Statement: [Piedras Negras, hasNeighboringSite, Pomona]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pomona Context triple: [Piedras Negras, hasNeighboringSite, Pomona]
-
A.
Pomona
Pomona is a city in eastern Los Angeles County, California, known for hosting the LA County Fair and for its historic downtown and arts district.
-
B.
Pomona
Pomona is a rural town in Queensland, Australia, known for its heritage architecture and proximity to the Noosa hinterland.
-
C.
Pomona
chosen
Pomona is an ancient Maya archaeological site in the western lowlands of present-day Mexico, known for its sculpted monuments and inscriptions.
-
D.
Pomona
Pomona is a small agricultural village in Belize known for its citrus farming and rural community life.
-
E.
Pamona
Pamona is an Austronesian language spoken by the Pamona people of Central Sulawesi, Indonesia.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d98bce3678819082a7aa1d83f20592 |
completed | April 10, 2026, 11:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbe45c8c819080fbdf1d94376feb |
completed | May 3, 2026, 4:15 a.m. |
Created at: April 9, 2026, 8:59 p.m.