Triple
T6356771
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2000 USS Cole bombing |
E143010
|
entity |
| Predicate | portCallPurpose |
P17285
|
FINISHED |
| Object | refueling stop |
—
|
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: refueling stop | Statement: [2000 USS Cole bombing, portCallPurpose, refueling stop]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portCallPurpose Context triple: [2000 USS Cole bombing, portCallPurpose, refueling stop]
-
A.
port
Indicates a relationship where one entity serves as a harbor, access point, or interface through which another entity can enter, exit, or connect.
-
B.
portAlsoKnownAs
Indicates that a port is referred to by an alternative name or alias.
-
C.
portFunction
chosen
Indicates the specific operational role or purpose that a port serves within a system or network.
-
D.
callingPoint
Indicates that one entity serves as a stop, station, or intermediate point that another entity (such as a route, journey, or service) calls at or passes through.
-
E.
porte
Indicates that an entity carries, wears, or bears another entity (such as an object, attribute, or characteristic).
- 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_69c008d7a9c4819098d647ec47776917 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c067f37d0881909289bafb09e29298 |
completed | March 22, 2026, 10:06 p.m. |
| PD | Predicate disambiguation | batch_69c060ec091c8190912aac44e1b8b1c9 |
completed | March 22, 2026, 9:36 p.m. |
Created at: March 22, 2026, 4:32 p.m.