Triple
T37030592
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Divriği Great Mosque and Hospital |
E916478
|
entity |
| Predicate | builtForDynasty |
P187265
|
FINISHED |
| Object | Mengujekids |
—
|
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: Mengujekids | Statement: [Divriği Great Mosque and Hospital, builtForDynasty, Mengujekids]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: builtForDynasty Context triple: [Divriği Great Mosque and Hospital, builtForDynasty, Mengujekids]
-
A.
featuredFranchiseDynasty
Indicates that a particular sports franchise is prominently highlighted or recognized as a notable dynasty within a given context or dataset.
-
B.
AllStarSelectionLeague
Indicates that an entity’s All-Star selection occurred within a specific sports league.
-
C.
allStarTeamSelection
Indicates that an entity has been chosen for inclusion on an all-star team, recognizing it as one of the top performers within a group or league.
-
D.
AllWNBATeamSelection
Indicates that a player has been selected to an All-WNBA Team for a given season or time period.
-
E.
usedInFantasySportsPlatforms
Indicates that something (such as data, content, or a feature) is utilized within fantasy sports platforms for gameplay, management, or related functionality.
- F. None of above. chosen
Provenance (4 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_69f76e92c7648190bcfa277f64c71a21 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb34e5576881909394355c8ec6ddd2 |
completed | May 6, 2026, 12:32 p.m. |
| PD | Predicate disambiguation | batch_69fb2f6171e88190bf1e0ee6a644b6a9 |
completed | May 6, 2026, 12:09 p.m. |
| PDg | Predicate description generation | batch_69fb34e4906c8190abb1c293fb84329a |
completed | May 6, 2026, 12:32 p.m. |
Created at: May 3, 2026, 4:14 p.m.