Triple
T25839098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ötzi the Iceman |
E650884
|
entity |
| Predicate | tattooDistribution |
P159530
|
FINISHED |
| Object | legs |
—
|
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: legs | Statement: [Ötzi the Iceman, tattooDistribution, legs]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: tattooDistribution Context triple: [Ötzi the Iceman, tattooDistribution, legs]
-
A.
tattooDistribution
chosen
Indicates how tattoos are spatially arranged or spread across the surface or body of an entity.
-
B.
notableTattoo
Indicates that an entity has a tattoo that is distinctive, prominent, or otherwise noteworthy.
-
C.
distributionFor
Indicates a relationship where one entity serves as the distribution, delivery, or dissemination mechanism for another entity.
-
D.
hasTattoo
Indicates that one entity bears a tattoo on their body.
-
E.
distributesIn
Indicates that one entity allocates or hands out something (e.g., items, resources, information) within or across a specified area, group, or context.
- 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_69e7ab38086081908f3a8e7e0c6efd83 |
completed | April 21, 2026, 4:52 p.m. |
| NER | Named-entity recognition | batch_69f601f80b9c8190947c4542654455a6 |
completed | May 2, 2026, 1:54 p.m. |
| PD | Predicate disambiguation | batch_69f5afec3e94819080d9ba86cf8c866e |
completed | May 2, 2026, 8:03 a.m. |
Created at: April 22, 2026, 7:49 a.m.