Triple
T36963676
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Grand Palace |
E914370
|
entity |
| Predicate | environmentTypeInGame |
P853
|
FINISHED |
| Object | urban palace complex |
—
|
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: urban palace complex | Statement: [Grand Palace, environmentTypeInGame, urban palace complex]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: environmentTypeInGame Context triple: [Grand Palace, environmentTypeInGame, urban palace complex]
-
A.
environmentType
chosen
Indicates the kind or category of environment associated with an entity or situation.
-
B.
environmentClass
Indicates that an entity belongs to, or is categorized within, a particular type or class of environment.
-
C.
environmentSubtype
Indicates that one environment is a more specific subtype or category within another, more general environment.
-
D.
environmentAnalogOf
Indicates that one environment serves as an analogue or counterpart to another, typically mirroring its conditions, structure, or behavior for comparison or simulation purposes.
-
E.
homeGameAtmosphere
Indicates the overall mood, energy, and environmental conditions experienced by participants and spectators during a team's home game.
- 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_69f76e8c498c8190b2842db80aea8b3b |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb563aec448190875410fb1a3ed624 |
completed | May 6, 2026, 2:54 p.m. |
| PD | Predicate disambiguation | batch_69fb35b9ede881908aaae93a215525df |
completed | May 6, 2026, 12:36 p.m. |
Created at: May 3, 2026, 4:14 p.m.