Triple
T38695106
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pathan |
E949975
|
entity |
| Predicate | valueAssociated |
P33135
|
FINISHED |
| Object | honor |
—
|
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: honor | Statement: [Pathan, valueAssociated, honor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: valueAssociated Context triple: [Pathan, valueAssociated, honor]
-
A.
associatedValue
chosen
Indicates that one entity is linked to another entity that serves as its corresponding or contextually related value.
-
B.
value
Indicates that one entity possesses, represents, or corresponds to a particular quantity, quality, or assigned worth.
-
C.
associatedKey
Indicates that one entity serves as a key or identifier that is logically or functionally linked to another entity.
-
D.
valueRelation
Indicates a comparative or associative relationship between the values or magnitudes of two or more entities.
-
E.
numberAssociation
Indicates a relationship where one entity is associated with, linked to, or characterized by a particular number or set of numbers.
- 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_69f76f0124408190bb39c3040734846b |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcdfbc71c481908ba7f87907b17782 |
completed | May 7, 2026, 6:53 p.m. |
| PD | Predicate disambiguation | batch_69fcdbe580b8819087f143596b2c79c0 |
completed | May 7, 2026, 6:37 p.m. |
Created at: May 3, 2026, 4:33 p.m.