Triple
T35855234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Titanfall |
E1036482
|
entity |
| Predicate | hasClassType |
P9272
|
FINISHED |
| Object | different Titan chassis types |
—
|
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: different Titan chassis types | Statement: [Titanfall, hasClassType, different Titan chassis types]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasClassType Context triple: [Titanfall, hasClassType, different Titan chassis types]
-
A.
hasClassName
Indicates that an entity is associated with or identified by a specific class name in a classification or type system.
-
B.
hasClass
chosen
Indicates that an entity belongs to, is categorized under, or is associated with a particular class or type.
-
C.
hasClassOptions
Indicates that an entity is associated with one or more selectable class options or classifications.
-
D.
hasClassGroup
Indicates that an entity belongs to or is associated with a particular class group or category.
-
E.
hasClassSize
Indicates the number of individuals or units that make up a particular class or group.
- 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_69f76e1b4aa481909630373171eb5ec6 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fda5003cdc8190a558501271389912 |
completed | May 8, 2026, 8:55 a.m. |
| PD | Predicate disambiguation | batch_69fda05bfc2c819096821a5300e9bb24 |
completed | May 8, 2026, 8:35 a.m. |
Created at: May 3, 2026, 4:06 p.m.