Triple
T37463822
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Witchwood (forest in Gilneas) |
E930984
|
entity |
| Predicate | factionTerritoryOf |
P65771
|
FINISHED |
| Object | Gilneas |
—
|
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: Gilneas | Statement: [The Witchwood (forest in Gilneas), factionTerritoryOf, Gilneas]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: factionTerritoryOf Context triple: [The Witchwood (forest in Gilneas), factionTerritoryOf, Gilneas]
-
A.
affectsTerritoryOf
Indicates that one entity causes changes to, or has an impact on, the territorial domain or jurisdiction of another entity.
-
B.
countrySeizingTerritory
Indicates a relationship where a country takes control of territory that previously belonged to another authority or was not under its sovereignty.
-
C.
mainTerritoryOfInfluence
Indicates the primary geographic area where an entity exerts the most significant control, impact, or influence.
-
D.
partOfTerritory
chosen
Indicates that one geographic or administrative area is contained within, and forms a constituent portion of, another territory.
-
E.
definedTerritoryOf
Indicates that one entity specifies or establishes the official territorial boundaries or jurisdiction of another entity.
- 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_69f76ec1a1148190b0a961f188d621b0 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fbb084760c8190a1554985d3c3cb7a |
completed | May 6, 2026, 9:20 p.m. |
| PD | Predicate disambiguation | batch_69fbadf3cb548190ba3b7514f76b790a |
completed | May 6, 2026, 9:09 p.m. |
Created at: May 3, 2026, 4:17 p.m.