Triple
T20052631
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Zia Pueblo |
E499241
|
entity |
| Predicate | tribalLanguage |
P42338
|
FINISHED |
| Object | Keres |
—
|
NE NERFINISHED |
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: Keres | Statement: [Zia Pueblo, tribalLanguage, Keres]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Keres Context triple: [Zia Pueblo, tribalLanguage, Keres]
-
A.
Keres
Keres are female death-spirits from Greek mythology associated with violent death and the battlefield, often depicted as dark, bloodthirsty beings who seize the souls of the dying.
-
B.
Keres
chosen
Keres is a group of closely related Native American languages spoken by the Keresan Pueblo peoples of New Mexico.
-
C.
Kerevat
Kerevat is a significant inland town in East New Britain Province of Papua New Guinea, known for its agricultural research station and surrounding cocoa and coconut plantations.
-
D.
Kehre
Kehre is a key concept in Martin Heidegger’s philosophy denoting a decisive “turn” or shift in his thinking about Being and the history of Western metaphysics.
-
E.
Keșerü
Keșerü is a Romanian surname most notably borne by professional footballer Claudiu Keșerü.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69da6276bcf48190aabbf279192a5fb4 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6633043a481908359ad232607182a |
completed | April 20, 2026, 5:32 p.m. |
Created at: April 11, 2026, 3:38 p.m.