Triple
T28895683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chemical Plant Zone |
E732827
|
entity |
| Predicate | zoneNumberInGame |
P165501
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Chemical Plant Zone, zoneNumberInGame, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: zoneNumberInGame Context triple: [Chemical Plant Zone, zoneNumberInGame, 2]
-
A.
regionInGame
Indicates that a specific region or area exists within or is part of a particular game.
-
B.
zoneNumberRange
Indicates that there is an associated range of zone numbers, typically specifying the minimum and maximum zone identifiers applicable in a given context.
-
C.
zoneCount
Indicates the number of distinct zones associated with or contained within a given entity or context.
-
D.
zoneType
Indicates the classification or category of a zone that specifies its type or functional designation.
-
E.
regionPlayedFor
Indicates the geographic region or area that an entity (typically a person or team) has represented or played for.
- 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_69f05b08c2008190ac426a035a2ed66d |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69f65aa3d0588190bfc2122baa4fb5cd |
completed | May 2, 2026, 8:12 p.m. |
| PD | Predicate disambiguation | batch_69f6576487e081908d802f1caf59c423 |
completed | May 2, 2026, 7:58 p.m. |
| PDg | Predicate description generation | batch_69f65875030881909007c502b7dcc998 |
completed | May 2, 2026, 8:03 p.m. |
Created at: April 28, 2026, 7:58 a.m.