Triple
T30658750
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Konyak Naga tribe |
E780462
|
entity |
| Predicate | warriorSymbol |
P80953
|
FINISHED |
| Object | facial and body tattoos |
—
|
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: facial and body tattoos | Statement: [Konyak Naga tribe, warriorSymbol, facial and body tattoos]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: warriorSymbol Context triple: [Konyak Naga tribe, warriorSymbol, facial and body tattoos]
-
A.
protectiveEmblemName
Indicates that a given name is the designated title or label of a protective emblem associated with an entity or context.
-
B.
recognizesAsWarrior
Indicates that one entity acknowledges or accepts another entity as a warrior.
-
C.
symbolicWeapon
Indicates a relationship where something functions as a symbolic or emblematic weapon for an entity, representing power, threat, or conflict rather than serving as a literal physical armament.
-
D.
ceremonialSymbol
chosen
Indicates that one entity serves as a symbol used in a formal or ritual ceremony for another entity or concept.
-
E.
isWarHeroOf
Indicates that one entity is recognized as a war hero in relation to, or on behalf of, another entity (such as a country, group, or cause).
- 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_69f224a6d10481909290be1a00fc83b3 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68adf0f908190aba108c90a766428 |
completed | May 2, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69f6861170d08190bb98be609d436f84 |
completed | May 2, 2026, 11:17 p.m. |
Created at: April 29, 2026, 8:30 p.m.