Triple
T38644696
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Warrior’s Terrace |
E938684
|
entity |
| Predicate | inGameTimePeriod |
P191763
|
FINISHED |
| Object | post-Third War era |
—
|
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: post-Third War era | Statement: [Warrior’s Terrace, inGameTimePeriod, post-Third War era]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inGameTimePeriod Context triple: [Warrior’s Terrace, inGameTimePeriod, post-Third War era]
-
A.
timeDuringMatch
Indicates that a specified time or time interval occurs within the duration of a particular match or game.
-
B.
typicalGameTime
Indicates the usual or expected amount of time a game takes to play.
-
C.
inGameStatus
Indicates the current state or condition of an entity within the context of a game (e.g., active, paused, eliminated).
-
D.
inGameType
Indicates that an entity participates in or belongs to a specific type or category within a game (e.g., game mode, classification, or role).
-
E.
timeInTournament
Indicates the duration or specific time period that an entity spends participating in a particular tournament.
- 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_69f76ed948ec81908ce7811608a8f359 |
completed | May 3, 2026, 3:50 p.m. |
| NER | Named-entity recognition | batch_69fce7671f108190bf3ebf54339068b5 |
completed | May 7, 2026, 7:26 p.m. |
| PD | Predicate disambiguation | batch_69fce5b5a84c81908ac1b5b9f08d48d0 |
completed | May 7, 2026, 7:19 p.m. |
| PDg | Predicate description generation | batch_69fce76669408190b1beef8899a8a5e2 |
completed | May 7, 2026, 7:26 p.m. |
Created at: May 3, 2026, 4:32 p.m.