Triple
T1765531
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tuareg cross |
E38752
|
entity |
| Predicate | givenAs |
P31656
|
FINISHED |
| Object | gift from father to son |
—
|
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: gift from father to son | Statement: [Tuareg cross, givenAs, gift from father to son]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: givenAs Context triple: [Tuareg cross, givenAs, gift from father to son]
-
A.
givenFor
Indicates that something is provided, offered, or assigned in favor of or on behalf of a particular entity or purpose.
-
B.
givenTo
Indicates that something is transferred or presented by one entity to another as a recipient.
-
C.
isGivenAt
Indicates that an event, service, or item is provided or occurs at a specific time or place.
-
D.
grantedBy
Indicates that a right, permission, or benefit is conferred or authorized by one entity to another.
-
E.
appointedAs
Indicates that one entity is formally assigned or designated to hold a specific role, position, or title in relation to another entity.
- F. None of above. chosen
Provenance (4 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_69a8862d562481908d7025a1c1f67c0d |
completed | March 4, 2026, 7:21 p.m. |
| NER | Named-entity recognition | batch_69ab39fc2c448190bfaf1ee8d474632a |
completed | March 6, 2026, 8:33 p.m. |
| PD | Predicate disambiguation | batch_69aa61cbb1288190a7ba38b61905f578 |
completed | March 6, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69ab39faf69c8190bae98d3e3911078f |
completed | March 6, 2026, 8:32 p.m. |
Created at: March 4, 2026, 7:31 p.m.