Triple
T12118671
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tupi |
E288631
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Polomolok |
E293720
|
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: Polomolok | Statement: [Tupi, borderedBy, Polomolok]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Polomolok Context triple: [Tupi, borderedBy, Polomolok]
-
A.
Polomolok
chosen
Polomolok is an agricultural municipality in the Philippines known for its large pineapple plantations and proximity to Mount Matutum.
-
B.
Marawila
Marawila is a coastal town in Sri Lanka known for its beaches, fishing community, and tourism-oriented resorts.
-
C.
Lawai
Lawai is a small unincorporated community on the island of Kauai in Hawaii, known for its rural residential character and proximity to the island’s south shore attractions.
-
D.
Paombong
Paombong is a coastal municipality in the province of Bulacan in the Philippines, known for its traditional vinegar production and fishing industry.
-
E.
Tagbanwa
Tagbanwa is an indigenous Philippine script historically used by the Tagbanwa people of Palawan for writing their Austronesian language.
- 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_69d6ab4a5c448190a110d1273314b21a |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d915760d208190b68f5e024b3676ba |
completed | April 10, 2026, 3:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f5f682397c819085a86a98e079660b |
completed | May 2, 2026, 1:05 p.m. |
Created at: April 8, 2026, 9:49 p.m.