Triple
T28110638
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tagalog War |
E710478
|
entity |
| Predicate | primaryLanguageOfRebels |
P201376
|
FINISHED |
| Object | Tagalog |
—
|
NE NERFINISHED |
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: Tagalog | Statement: [Tagalog War, primaryLanguageOfRebels, Tagalog]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryLanguageOfRebels Context triple: [Tagalog War, primaryLanguageOfRebels, Tagalog]
-
A.
combatantLanguage
Indicates the language used by a combatant in a conflict or competitive interaction.
-
B.
languageOfOccupyingAuthorities
Indicates the language used by the authorities or powers that are occupying or controlling a territory.
-
C.
languageOfPrisoners
Indicates the language used or spoken by prisoners in a given context or setting.
-
D.
languageOfOfficialAnnouncements
Indicates the language used for formal or official public announcements issued by an authority.
-
E.
languageOfUnion
Indicates that a specified language is officially used or recognized as a language of a particular union or union-level entity.
- F. None of above. chosen
Provenance (4 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_69ef9b71fdb081908b4a61cd7ff147c1 |
completed | April 27, 2026, 5:22 p.m. |
| NER | Named-entity recognition | batch_69ffef812da48190b875a7376b24f92d |
completed | May 10, 2026, 2:37 a.m. |
| PD | Predicate disambiguation | batch_69ffedecd580819097851b1473fdd6ed |
completed | May 10, 2026, 2:31 a.m. |
| PDg | Predicate description generation | batch_69ffef8003c081909ec2413b4ea08d43 |
completed | May 10, 2026, 2:37 a.m. |
Created at: April 27, 2026, 9:11 p.m.