Triple
T3898779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zambales |
E90435
|
entity |
| Predicate | hasMunicipality |
P847
|
FINISHED |
| Object | Iba |
E398204
|
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: Iba | Statement: [Zambales, hasMunicipality, Iba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Iba Context triple: [Zambales, hasMunicipality, Iba]
-
A.
Iba
chosen
Iba is a coastal municipality in the Philippines that serves as the administrative and economic center of the province of Zambales.
-
B.
Ilo
Ilo is a given name associated with the individual Ilo Browne Wallace.
-
C.
Riaba
Riaba is a small town on Bioko Island in Equatorial Guinea, known historically as one of the island’s early colonial settlements.
-
D.
Sangone
Sangone is a river in northwestern Italy that flows through the Piedmont region before joining the Dora Riparia.
-
E.
Seta River
The Seta River is a Japanese waterway in Shiga Prefecture that flows out of Lake Biwa and continues downstream as part of the Yodo River system toward Kyoto and Osaka.
- 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_69aed95d315881908cbf1bf4a7215fbf |
completed | March 9, 2026, 2:29 p.m. |
| NER | Named-entity recognition | batch_69aeecefa3608190a7a20ed6df6a64b2 |
completed | March 9, 2026, 3:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5285093208190a2ba00afcbd8a261 |
completed | March 14, 2026, 9:20 a.m. |
Created at: March 9, 2026, 3:21 p.m.