Triple
T2489336
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ben-Gurion Airport |
E52001
|
entity |
| Predicate | securityReputation |
P40353
|
FINISHED |
| Object | high security standards |
—
|
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: high security standards | Statement: [Ben-Gurion Airport, securityReputation, high security standards]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: securityReputation Context triple: [Ben-Gurion Airport, securityReputation, high security standards]
-
A.
defensiveReputation
Indicates that an entity is regarded or recognized as being strong, reliable, or skilled in defense.
-
B.
surfReputation
Indicates the perceived quality or status of someone or something within a surfing-related context, such as skill, credibility, or recognition in the surf community.
-
C.
performanceReputation
Indicates the perceived quality or reliability of an entity’s past or expected performance as judged by others.
-
D.
securityStatus
Indicates the current level or condition of protection, risk, or vulnerability associated with an entity or system.
-
E.
handlingReputation
Indicates that one entity manages, influences, or is responsible for maintaining the reputation or public perception of another 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_69ab4955111c8190835bf619adec21ff |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abd20b6d008190acec0eb172e218c9 |
completed | March 7, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69abd0b7cf088190bcff4dac6150044c |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd209d934819093600889af9104c3 |
completed | March 7, 2026, 7:21 a.m. |
Created at: March 6, 2026, 9:45 p.m.