Triple
T27226856
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lago de Valencia |
E682037
|
entity |
| Predicate | threatensInfrastructure |
P54339
|
FINISHED |
| Object | nearby housing developments |
—
|
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: nearby housing developments | Statement: [Lago de Valencia, threatensInfrastructure, nearby housing developments]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: threatensInfrastructure Context triple: [Lago de Valencia, threatensInfrastructure, nearby housing developments]
-
A.
targetedInfrastructure
Indicates that an entity deliberately selected and acted against a specific piece of infrastructure as the focus of its operation or attack.
-
B.
significantInfrastructure
Indicates that an entity constitutes an important or critical piece of infrastructure within a system, network, or region.
-
C.
defenseInfrastructure
Indicates the existence or involvement of physical or organizational structures and facilities that support defense or protective capabilities between the related entities.
-
D.
threatTypeDeterrence
Indicates a relationship where a threat is characterized specifically as serving a deterrent function, aimed at discouraging or preventing certain actions or behaviors.
-
E.
infrastructureImpact
chosen
Indicates the effect that an action, event, or entity has on the condition, performance, or availability of infrastructure systems.
- 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_69eefacdad7881908b7bca61c90a1a1e |
completed | April 27, 2026, 5:57 a.m. |
| NER | Named-entity recognition | batch_69f62cd2ceb481908cd9fae52a542206 |
completed | May 2, 2026, 4:56 p.m. |
| PD | Predicate disambiguation | batch_69f62c1762f881908c25e8f70ecd5041 |
completed | May 2, 2026, 4:53 p.m. |
Created at: April 27, 2026, 9:44 a.m.