Triple
T10448276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Terrorist Screening Center |
E246348
|
entity |
| Predicate | typeOfWatchlist |
P94089
|
FINISHED |
| Object | consolidated terrorist watchlist |
—
|
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: consolidated terrorist watchlist | Statement: [Terrorist Screening Center, typeOfWatchlist, consolidated terrorist watchlist]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfWatchlist Context triple: [Terrorist Screening Center, typeOfWatchlist, consolidated terrorist watchlist]
-
A.
watchType
Indicates the type or category of watching activity or viewing behavior associated with an entity.
-
B.
watchesVia
Indicates that one entity views or consumes content through a particular medium, platform, or device.
-
C.
hasFinancialInstrumentType
Indicates that an entity is associated with, or classified by, a specific type or category of financial instrument.
-
D.
isListedSecurityOf
Indicates that one entity is a security (such as a stock or bond) that is officially listed and traded on the other entity, which is a financial exchange or trading venue.
-
E.
assetType
Indicates the specific category or classification of an asset within a broader asset framework or system.
- 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_69d381c04fe08190957c26c526a3b05a |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4fe083cd881909d2d8ad75d1d94cb |
completed | April 7, 2026, 12:52 p.m. |
| PD | Predicate disambiguation | batch_69d4fb73a5e48190a8df4775bc5da80f |
completed | April 7, 2026, 12:41 p.m. |
| PDg | Predicate description generation | batch_69d4fe058fcc81909428137d9ffd6d90 |
completed | April 7, 2026, 12:52 p.m. |
Created at: April 6, 2026, 12:16 p.m.