Triple
T10291422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tandag |
E241373
|
entity |
| Predicate | hasProvinceCapitalStatus |
P3433
|
FINISHED |
| Object | true |
—
|
LITERAL 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: true | Statement: [Tandag, hasProvinceCapitalStatus, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasProvinceCapitalStatus Context triple: [Tandag, hasProvinceCapitalStatus, true]
-
A.
isProvincialCapital
chosen
Indicates that a location serves as the administrative capital of a province within a country or region.
-
B.
hasCountryCapitalOfProvince
Indicates that a country has a specific city that serves as the capital of one of its provinces.
-
C.
regionCapitalStatus
Indicates that one entity serves as the capital of a specified region or administrative area in relation to another entity.
-
D.
isProvincialCityOf
Indicates that a city serves as an administrative or officially designated city within a specified province.
-
E.
hasProvinceName
Indicates that an entity (such as a province or region) bears or is associated with a specific province name.
- F. None of above.
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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d7ccb7ec8190a538cf279e48116e |
completed | April 7, 2026, 10:09 a.m. |
| PD | Predicate disambiguation | batch_69d4d1f117708190928f92ae2611d724 |
completed | April 7, 2026, 9:44 a.m. |
Created at: April 6, 2026, 11:42 a.m.