Triple
T33718406
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Qalandia |
E863938
|
entity |
| Predicate | hasNearbySecurityInfrastructure |
P124983
|
FINISHED |
| Object | watchtowers |
—
|
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: watchtowers | Statement: [Qalandia, hasNearbySecurityInfrastructure, watchtowers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNearbySecurityInfrastructure Context triple: [Qalandia, hasNearbySecurityInfrastructure, watchtowers]
-
A.
hasSafetyInfrastructure
Indicates that appropriate safety-related structures, systems, or measures are present for the referenced entity or environment.
-
B.
hasNearbyInfrastructureType
chosen
Indicates that an entity is located close to infrastructure of a specified type.
-
C.
securityLocation
Indicates the place or area where security-related activities, measures, or responsibilities are situated or applied.
-
D.
hasProtectedAreasNearby
Indicates that an entity is located close to one or more designated protected or conservation areas.
-
E.
hasFortificationNearby
Indicates that one entity is located in proximity to, or within the immediate area of, a fortification structure associated with it.
- 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_69f34989871c81908682e22a2fe4b829 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69ff891e4b9c8190aa86a339a8944496 |
completed | May 9, 2026, 7:21 p.m. |
| PD | Predicate disambiguation | batch_69ff8801180c8190b23e20996ca68e0a |
completed | May 9, 2026, 7:16 p.m. |
Created at: May 1, 2026, 1:44 a.m.