Triple
T34669126
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A-Spec |
E890330
|
entity |
| Predicate | primaryModeIn |
P205511
|
FINISHED |
| Object | Gran Turismo 4 |
E1013411
|
NE 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: Gran Turismo 4 | Statement: [A-Spec, primaryModeIn, Gran Turismo 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: primaryModeIn Context triple: [A-Spec, primaryModeIn, Gran Turismo 4]
-
A.
primaryMode
Indicates the main or most commonly used method, manner, or form in which an action, process, or interaction is carried out between entities.
-
B.
primaryModes
Indicates the main methods, forms, or channels through which something typically operates, is expressed, or is carried out.
-
C.
primaryFor
Indicates that one entity serves as the main or principal option, resource, or association for another entity among possible alternatives.
-
D.
primarySingle
Indicates that an entity has exactly one main or primary association of the specified type, with no additional concurrent primary associations.
-
E.
primaryIntent
Indicates the main purpose, goal, or motivation underlying an action, event, or relationship among entities.
- F. None of above. chosen
Provenance (5 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_69f349d9c59481908b36baa0be093aea |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a38369441788190b14fb1cc23cafbec |
completed | June 21, 2026, 7:08 p.m. |
| PD | Predicate disambiguation | batch_6a0379fd7aac8190873077e63873aa72 |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c80ba448190853011097a151b7e |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 1, 2026, 2:05 a.m.