Triple
T24137180
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Buenavista Wharf |
E598118
|
entity |
| Predicate | primaryFunction |
P88
|
FINISHED |
| Object | movement of passengers between Guimaras and Iloilo |
—
|
LITERAL FINISHED |
How this triple was built (1 step)
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: movement of passengers between Guimaras and Iloilo | Statement: [Buenavista Wharf, primaryFunction, movement of passengers between Guimaras and Iloilo]
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_69e288c92e448190ac57034fa0c863ce |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1df7d30a0819092ecea0cf58c2332 |
completed | April 29, 2026, 10:37 a.m. |
Created at: April 17, 2026, 11:27 p.m.