Triple
T31224964
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Port Stanley runway |
E796112
|
entity |
| Predicate | countryDuring1982Conflict |
P55968
|
FINISHED |
| Object | Argentina |
—
|
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: Argentina | Statement: [Port Stanley runway, countryDuring1982Conflict, Argentina]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: countryDuring1982Conflict Context triple: [Port Stanley runway, countryDuring1982Conflict, Argentina]
-
A.
conflictCountry
Indicates that there is an armed conflict or war involving the referenced country as a participant.
-
B.
countryAfterConflict
Indicates that one country exists in a post-conflict state or status relative to a specified conflict or warring situation.
-
C.
regionOfConflict
Indicates that a specified region is the location where a particular conflict or dispute takes place.
-
D.
countryDuringWar
chosen
Indicates that a country exists or participates as a relevant actor during a specified war or armed conflict.
-
E.
countryDuringBattle
Indicates that a specified country was involved in or existed as a relevant participant or context during a particular battle.
- 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_69f224da98f88190ab32f690cce5d303 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69ffdd05d1908190957deb11392f4595 |
completed | May 10, 2026, 1:19 a.m. |
| PD | Predicate disambiguation | batch_69ffdc0d33c881908b3483bee8a96540 |
completed | May 10, 2026, 1:14 a.m. |
Created at: April 29, 2026, 9:10 p.m.