Triple
T37369347
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Twelve Houses of the Gondolindrim |
E927794
|
entity |
| Predicate | raceOfMembers |
P130133
|
FINISHED |
| Object | Noldor |
—
|
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: Noldor | Statement: [Twelve Houses of the Gondolindrim, raceOfMembers, Noldor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: raceOfMembers Context triple: [Twelve Houses of the Gondolindrim, raceOfMembers, Noldor]
-
A.
racialComposition
Indicates the proportional makeup of different racial groups within a given population or entity.
-
B.
traditionalMemberRace
Indicates that an entity belongs to a race or ethnic group that is traditionally associated with or historically characteristic of a particular membership or community.
-
C.
raceGroup
chosen
Indicates that the subject belongs to, or is categorized within, a particular racial or ethnic group.
-
D.
ethnicGroupInFocus
Indicates that a particular ethnic group is the primary subject or focal point within a given context, relation, or description.
-
E.
racialStructure
Indicates how racial categories or groupings are organized, distributed, or structured within a given context or system.
- 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_69f76eb820248190a5c395ca50ad002a |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fb8c38a9688190be524246f5682107 |
completed | May 6, 2026, 6:45 p.m. |
| PD | Predicate disambiguation | batch_69fb5a9c6e0481908565bd849e869b24 |
completed | May 6, 2026, 3:13 p.m. |
Created at: May 3, 2026, 4:16 p.m.