Triple
T30924518
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Naath |
E787819
|
entity |
| Predicate | hasCollectiveMeaning |
P72788
|
FINISHED |
| Object | "the people" in Nuer self-reference |
—
|
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: "the people" in Nuer self-reference | Statement: [Naath, hasCollectiveMeaning, "the people" in Nuer self-reference]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCollectiveMeaning Context triple: [Naath, hasCollectiveMeaning, "the people" in Nuer self-reference]
-
A.
hasCollectiveCharacter
chosen
Indicates that a group or set of entities is treated as a unified whole, sharing a collective nature or identity rather than being considered solely as separate individuals.
-
B.
hasMean
Indicates that one entity possesses, exhibits, or is characterized by a particular mean value or average.
-
C.
hasMultipleMeanings
Indicates that a term, symbol, or expression is associated with more than one distinct meaning or interpretation.
-
D.
hasMeaningCategory
Indicates that something is associated with a particular category of meaning or semantic type.
-
E.
hasMeaningCandidate
Indicates that something is being considered as a possible or proposed meaning or interpretation for something else.
- 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_69f224bfaca88190b9d0dfcc86297fe9 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a01a819644c819094c58d083d525da0 |
completed | May 11, 2026, 9:57 a.m. |
| PD | Predicate disambiguation | batch_6a01a5dfd628819083c032d8cfd2e726 |
completed | May 11, 2026, 9:48 a.m. |
Created at: April 29, 2026, 8:51 p.m.