Triple
T18662645
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Crain |
E456239
|
entity |
| Predicate | hasPossibleOriginType |
P106458
|
FINISHED |
| Object | topographic surname |
—
|
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: topographic surname | Statement: [Crain, hasPossibleOriginType, topographic surname]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPossibleOriginType Context triple: [Crain, hasPossibleOriginType, topographic surname]
-
A.
hasOriginIn
Indicates that something begins, arises, or is derived from a specified source, place, or cause.
-
B.
hasOriginFeature
Indicates that an entity possesses a specific characteristic, attribute, or feature related to its origin or source.
-
C.
hasNameOriginType
chosen
Indicates that there is a specific type or category describing the origin of an entity’s name.
-
D.
hasProposedOrigins
Indicates that there are suggested or hypothesized sources, beginnings, or origins for something, typically based on theory or evidence rather than certainty.
-
E.
hasApproximateOrigin
Indicates that an entity originates from a source or location that is known only approximately rather than precisely.
- 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_69d8d38f72b4819090a935175d9ca8af |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5508b35ec819085c1c4c2c98d6672 |
completed | April 19, 2026, 10 p.m. |
| PD | Predicate disambiguation | batch_69e478db7a248190a8c6584673773923 |
completed | April 19, 2026, 6:40 a.m. |
Created at: April 10, 2026, 11:48 a.m.