Triple
T38476958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Slums |
E915573
|
entity |
| Predicate | hasSpawnAreas |
P18866
|
FINISHED |
| Object | opposite ends of the map |
—
|
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: opposite ends of the map | Statement: [Slums, hasSpawnAreas, opposite ends of the map]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasSpawnAreas Context triple: [Slums, hasSpawnAreas, opposite ends of the map]
-
A.
hasStartingArea
Indicates that an entity is associated with, or begins from, a specific initial area or region.
-
B.
spawningLocation
chosen
Indicates the place or environment where an entity originates, appears, or is generated.
-
C.
spawns
Indicates that one entity generates, creates, or gives rise to another entity, often as an origin or source.
-
D.
canSpawnWith
Indicates that one entity is able to appear, be created, or originate in conjunction with another entity under the same conditions or context.
-
E.
hasAttackingTeamSpawn
Indicates that a location or point is designated as the spawn area for the attacking team.
- 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_69f76e8ff5cc8190a88803369183845e |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69ff21cbd9108190a52c0ba42004c669 |
completed | May 9, 2026, noon |
| PD | Predicate disambiguation | batch_69ff1faea91881908c626c70bca5100a |
completed | May 9, 2026, 11:51 a.m. |
Created at: May 3, 2026, 4:31 p.m.