Triple
T4331068
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wireless Emergency Alerts system |
E96748
|
entity |
| Predicate | locationBased |
P40795
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Wireless Emergency Alerts system, locationBased, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: locationBased Context triple: [Wireless Emergency Alerts system, locationBased, true]
-
A.
agingLocation
Indicates the place where an entity undergoes an aging process or is stored to age over time.
-
B.
locationFocus
chosen
Indicates that the primary or most relevant location associated with an entity, event, or relation is being specified or emphasized.
-
C.
locatedNearPass
Indicates that one entity is situated close to a mountain pass or similar passageway.
-
D.
locatedIn
Indicates that one entity exists or is situated within the spatial, administrative, or conceptual boundaries of another entity.
-
E.
featuresLocation
Indicates that something is characterized by or includes a specific location as one of its notable attributes.
- 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_69b34542fd908190b11b08faad8decfd |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3514c39748190900e13e70ed8848c |
completed | March 12, 2026, 11:50 p.m. |
| PD | Predicate disambiguation | batch_69b34f4e13fc8190a42c519f37959d27 |
completed | March 12, 2026, 11:42 p.m. |
Created at: March 12, 2026, 11:13 p.m.