Triple
T18946859
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Itogon |
E463535
|
entity |
| Predicate | borderedBy |
P224
|
FINISHED |
| Object | Tuba |
E1073029
|
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: Tuba | Statement: [Itogon, borderedBy, Tuba]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tuba Context triple: [Itogon, borderedBy, Tuba]
-
A.
Tuba
chosen
Tuba is a municipality in the Philippine province of Benguet known as a gateway to Baguio City and for its mountainous terrain and mining areas.
-
B.
Trumpets
"Trumpets" is a pop-influenced song by American singer-songwriter and producer Jon Bellion, known for its catchy melody and inventive production.
-
C.
Black Trombone
"Black Trombone" is a jazz-influenced chanson by French singer-songwriter Serge Gainsbourg, noted for its sultry atmosphere, playful lyrics, and prominent trombone arrangements.
-
D.
French horn
The French horn is a brass musical instrument known for its wide range and rich, mellow tone, commonly used in orchestras, film scores, and classical ensembles.
-
E.
English horn
The English horn is a double-reed woodwind instrument, lower in pitch than the oboe, known for its rich, melancholic tone often featured in orchestral and solo repertoire.
- 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_69d8dcfec90481909e926be9767e5779 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5d5402ad881908add559249278895 |
completed | April 20, 2026, 7:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a059fcc18b48190b3cce80f996f0f16 |
completed | May 14, 2026, 10:11 a.m. |
Created at: April 10, 2026, 11:59 a.m.