Triple
T13120175
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giant Land |
E311698
|
entity |
| Predicate | chronologicalOrderInGame |
P23880
|
FINISHED |
| Object | after Water Land |
—
|
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: after Water Land | Statement: [Giant Land, chronologicalOrderInGame, after Water Land]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: chronologicalOrderInGame Context triple: [Giant Land, chronologicalOrderInGame, after Water Land]
-
A.
chronologicalOrderInSeries
chosen
Indicates that one entity appears earlier or later than another within an ordered sequence or series.
-
B.
chronologicallyOrdered
Indicates that the related entities are arranged in the order in which they occur in time.
-
C.
sequenceInGames
Indicates that one game or event occurs as part of an ordered sequence within a series of games.
-
D.
chronologicalPosition
Indicates the relative ordering of one event or entity in time with respect to another.
-
E.
chronologicallyCovers
Indicates that one time period, event, or sequence extends over and includes the entire chronological span of another.
- 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_69d806a9fe888190b081e2d9ea665d6c |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69d98196e69081909111407ee3d9f08e |
completed | April 10, 2026, 11:02 p.m. |
| PD | Predicate disambiguation | batch_69d98043a74c81908648e6cd0b4c7f71 |
completed | April 10, 2026, 10:57 p.m. |
Created at: April 9, 2026, 9:06 p.m.