Triple
T13980637
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kamayo |
E336299
|
entity |
| Predicate | spokenIn |
P2266
|
FINISHED |
| Object | Barobo |
E956898
|
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: Barobo | Statement: [Kamayo, spokenIn, Barobo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barobo Context triple: [Kamayo, spokenIn, Barobo]
-
A.
Barobo
chosen
Barobo is a coastal municipality in the province of Surigao del Sur in the Philippines, known for its fishing industry and nearby island and river attractions.
-
B.
Linbaba
Linbaba is the protagonist and narrator of Gregory David Roberts' novel "Shantaram," an Australian fugitive who builds a new life in the underworld of Bombay.
-
C.
Borobi
Borobi is a blue koala character created as the official mascot for the 2018 Commonwealth Games held on Australia's Gold Coast.
-
D.
Begguya
Begguya is an imposing peak in the Alaska Range, known to climbers as Mount Hunter, one of the prominent mountains near Denali.
-
E.
Bakula
Bakula is the surname of American actor Scott Bakula, best known for his leading roles in the television series "Quantum Leap" and "Star Trek: Enterprise."
- 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_69d81c639e808190a0e4b4f3d31c6a59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2ea10dc88190b9720919a021e570 |
completed | April 14, 2026, 12:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1e5f2008190a0701ae37ed5219d |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:18 p.m.