Triple
T10844803
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Alec Trevelyan |
E255982
|
entity |
| Predicate | 00Number |
P8195
|
FINISHED |
| Object | 006 |
—
|
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: 006 | Statement: [Alec Trevelyan, 00Number, 006]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: 00Number Context triple: [Alec Trevelyan, 00Number, 006]
-
A.
number
chosen
Indicates that one entity is associated with a specific numerical value or count in relation to another entity or context.
-
B.
imoNumber
Indicates that an entity is associated with a specific International Maritime Organization (IMO) identification number used to uniquely identify ships and certain maritime structures.
-
C.
containsNumber
Indicates that one entity includes or has at least one numeric value or digit within it.
-
D.
standardNumber
Indicates that an entity is associated with a canonical or officially recognized reference number used for identification or classification.
-
E.
honorsNumber
Indicates that one entity formally recognizes or commemorates another by assigning or associating a specific number 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_69d6aa81a5d08190aa86689061d1ddd2 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d750d0155c81908fb55ba6b45db800 |
completed | April 9, 2026, 7:10 a.m. |
| PD | Predicate disambiguation | batch_69d70d2b51448190bae748ed6c23edde |
completed | April 9, 2026, 2:21 a.m. |
Created at: April 8, 2026, 9:19 p.m.