Triple
T38583026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Highmountain tauren |
E932286
|
entity |
| Predicate | racialReligion |
P16496
|
FINISHED |
| Object | Earthmother worship |
—
|
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: Earthmother worship | Statement: [Highmountain tauren, racialReligion, Earthmother worship]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: racialReligion Context triple: [Highmountain tauren, racialReligion, Earthmother worship]
-
A.
ethnicReligion
chosen
Indicates that a religion is closely associated with a particular ethnic group, often tied to that group’s culture, ancestry, or identity.
-
B.
religionMinority
Indicates that the subject’s religion is a minority faith within the relevant population or context.
-
C.
religiousAffiliation
Indicates that one entity has a specified religious association, belief system, or denominational membership.
-
D.
religiousCharacteristic
Indicates that one entity has a religious attribute, quality, or affiliation that characterizes or distinguishes it in a religious context.
-
E.
ethnicOrReligiousGroup
Indicates that one entity is an ethnic or religious group to which the other entity belongs or with which it is associated.
- 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_69f76ec654d48190b421111cf26e54d9 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fcdaa36f90819093f8661969990c7d |
completed | May 7, 2026, 6:32 p.m. |
| PD | Predicate disambiguation | batch_69fcd8fefc588190b063d7ea1ec87b07 |
completed | May 7, 2026, 6:25 p.m. |
Created at: May 3, 2026, 4:32 p.m.