Triple
T26223144
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terminal 2C |
E655815
|
entity |
| Predicate | hasSecurityAuthority |
P180592
|
FINISHED |
| Object | Spanish airport security services |
—
|
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: Spanish airport security services | Statement: [Terminal 2C, hasSecurityAuthority, Spanish airport security services]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSecurityAuthority Context triple: [Terminal 2C, hasSecurityAuthority, Spanish airport security services]
-
A.
hasSecurityFunction
Indicates that an entity performs, provides, or is responsible for a security-related role, protection mechanism, or safeguarding function for another entity or system.
-
B.
hasSafetyRole
Indicates that an entity holds a responsibility or function related to safety within a given context or system.
-
C.
hasSecurityPresence
Indicates that some form of security personnel, system, or measures are present at or associated with an entity or location.
-
D.
hasSecurityArea
Indicates that an entity is associated with, assigned to, or falls within a defined security-controlled area or zone.
-
E.
hasSecurityAccessControl
Indicates that an entity enforces or is associated with mechanisms that regulate and control access to resources or information for security purposes.
- 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_69ee5b4a77e08190bfcb5f8ecdc55abd |
completed | April 26, 2026, 6:36 p.m. |
| NER | Named-entity recognition | batch_69f7465687bc8190a9da44d62b634ed7 |
completed | May 3, 2026, 12:57 p.m. |
| PD | Predicate disambiguation | batch_69f743f4ceb08190a21fe7f4a99b166b |
completed | May 3, 2026, 12:47 p.m. |
| PDg | Predicate description generation | batch_69f74654c09c819084879162eba9d641 |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 26, 2026, 8:57 p.m.