Triple
T38240921
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dragonpit |
E1013756
|
entity |
| Predicate | meetingSiteFor |
P50741
|
FINISHED |
| Object | Daenerys Targaryen and Cersei Lannister parley |
—
|
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: Daenerys Targaryen and Cersei Lannister parley | Statement: [Dragonpit, meetingSiteFor, Daenerys Targaryen and Cersei Lannister parley]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: meetingSiteFor Context triple: [Dragonpit, meetingSiteFor, Daenerys Targaryen and Cersei Lannister parley]
-
A.
meetingType
Indicates the specific category or format of a meeting that characterizes how it is organized or conducted.
-
B.
meetingPlaceOf
chosen
Indicates the location where a particular meeting or gathering takes place or is held for the referenced entities.
-
C.
meetingContext
Indicates the situational setting, circumstances, or background conditions in which a meeting takes place.
-
D.
meetingFunction
Indicates that an entity serves as the functional purpose, role, or objective of a meeting within a given context.
-
E.
meetingPartner
Indicates that two entities are participants in the same meeting, standing in a mutual partner or counterpart relationship within that meeting.
- 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_69f76dd72a248190a5fe18db2bd1eb15 |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_69fcc3321ef081908023590ba70ba0cf |
completed | May 7, 2026, 4:52 p.m. |
| PD | Predicate disambiguation | batch_69fcb0fdc6e08190b05e894c59481a0d |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:30 p.m.