Triple
T14969796
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argao |
E373285
|
entity |
| Predicate | hasBarangay |
P29835
|
FINISHED |
| Object | Bogo |
E440871
|
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: Bogo | Statement: [Argao, hasBarangay, Bogo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bogo Context triple: [Argao, hasBarangay, Bogo]
-
A.
Bogo
Bogo is an alternative name for the Bilen people, an ethnic group primarily living in Eritrea.
-
B.
Bogo
chosen
Bogo is a component city located in the northern part of Cebu province in the Philippines, known as a commercial and transport hub for surrounding municipalities and islands.
-
C.
Boz
Boz is the stage name of American singer, songwriter, and guitarist Boz Scaggs, known for his blend of rock, blues, and soul music.
-
D.
Boolaroo
Boolaroo is a suburb in the City of Lake Macquarie in New South Wales, Australia, historically known for its industrial activities and proximity to Cockle Creek and Lake Macquarie.
-
E.
Boebe
Boebe was an ancient town in the region of Magnesia in Thessaly, Greece, known from classical sources and associated with nearby Lake Boebeis.
- 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_69d85ccbbcd48190acb56e7cf104d8ad |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6e59a7c8190a1634a706ea68fda |
completed | April 15, 2026, 12:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe8be6ce68819099f841d83c6ca33d |
completed | May 9, 2026, 1:20 a.m. |
Created at: April 10, 2026, 2:49 a.m.