Triple
T23744034
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Al-Qaim–Abu Kamal border crossing |
E586762
|
entity |
| Predicate | hasMilitarySignificanceFor |
P27512
|
FINISHED |
| Object | Iraq |
—
|
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: Iraq | Statement: [Al-Qaim–Abu Kamal border crossing, hasMilitarySignificanceFor, Iraq]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMilitarySignificanceFor Context triple: [Al-Qaim–Abu Kamal border crossing, hasMilitarySignificanceFor, Iraq]
-
A.
hasMilitarySignificance
chosen
Indicates that something holds strategic or tactical importance for military planning, operations, or defense objectives.
-
B.
hasMilitarySignificanceSince
Indicates that something has held military importance or strategic value starting from a specified point in time.
-
C.
hasHistoricSignificanceFor
Indicates that something holds notable historical importance or relevance for a particular entity or group.
-
D.
hasHistoricalSignificanceThrough
Indicates that one entity possesses historical importance or relevance by means of, or as established through, its connection or association with another entity or event.
-
E.
militaryEventMentionedIn
Indicates that a specific military event is referenced or discussed within a particular document, text, or source.
- 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_69e24908efb08190bf755c3a9b91f222 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1bcbbcf988190b56d74af4b126bd8 |
completed | April 29, 2026, 8:09 a.m. |
| PD | Predicate disambiguation | batch_69f155f012808190a4b1cbc155558ade |
completed | April 29, 2026, 12:50 a.m. |
Created at: April 17, 2026, 7:12 p.m.