Triple
T24196659
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | UNTAC |
E599851
|
entity |
| Predicate | civilianPoliceStrength |
P155143
|
FINISHED |
| Object | about 3600 |
—
|
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: about 3600 | Statement: [UNTAC, civilianPoliceStrength, about 3600]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: civilianPoliceStrength Context triple: [UNTAC, civilianPoliceStrength, about 3600]
-
A.
civilianPresence
Indicates the presence or involvement of non-combatant individuals in a given location, situation, or event.
-
B.
strengthGovernmentForces
Indicates the level or degree of military or coercive power held or exerted by government forces in a given context.
-
C.
hasOwnPoliceForce
Indicates that an entity maintains and controls its own dedicated police force or law enforcement agency.
-
D.
isCivilMilitary
Indicates that an entity or relationship involves both civilian and military components or functions.
-
E.
civilOrMilitary
Indicates that something is classified as either civil (non-military) or military in nature or function.
- 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_69e288ceaab88190899d0acb5931591d |
completed | April 17, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69f1e24ad83c819084ac9e34d2cc2120 |
completed | April 29, 2026, 10:49 a.m. |
| PD | Predicate disambiguation | batch_69f1c43e55688190b55fc20274ed471c |
completed | April 29, 2026, 8:41 a.m. |
| PDg | Predicate description generation | batch_69f1c9834064819082024233d9c6f98f |
completed | April 29, 2026, 9:04 a.m. |
Created at: April 17, 2026, 11:36 p.m.