Triple
T3377731
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | the Corsair |
E71106
|
entity |
| Predicate | tattooLocation |
P32348
|
FINISHED |
| Object | arm (at least one incarnation) |
—
|
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: arm (at least one incarnation) | Statement: [the Corsair, tattooLocation, arm (at least one incarnation)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tattooLocation Context triple: [the Corsair, tattooLocation, arm (at least one incarnation)]
-
A.
locatedOnBody
chosen
Indicates that one entity is physically situated on the surface or external part of another entity’s body.
-
B.
hasBodyRegion
Indicates that an entity possesses, includes, or is associated with a specific anatomical or bodily region.
-
C.
seatOfBody
Indicates that one entity serves as the physical location or base where another entity (typically an organization or authority) is situated or headquartered.
-
D.
stainLocation
Indicates the specific place or area where a stain is present or occurs.
-
E.
anatomicalFeature
Indicates that one entity is an anatomical part, structure, or feature of another entity.
- 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_69ad85a7f80c8190a05e43013f298942 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb2e8d1988190b6fb6c4c5502f25f |
completed | March 8, 2026, 5:33 p.m. |
| PD | Predicate disambiguation | batch_69ada433059881908e46f38cc5f40a32 |
completed | March 8, 2026, 4:30 p.m. |
Created at: March 8, 2026, 3:13 p.m.