Triple
T3094301
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Government and Binding Theory |
E64555
|
entity |
| Predicate | usesRepresentation |
P21655
|
FINISHED |
| Object | phrase structure trees |
—
|
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: phrase structure trees | Statement: [Government and Binding Theory, usesRepresentation, phrase structure trees]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesRepresentation Context triple: [Government and Binding Theory, usesRepresentation, phrase structure trees]
-
A.
hasRepresentationIn
Indicates that one entity is represented, depicted, or encoded within another entity, such as a concept, object, or data structure having a corresponding representation in a specific medium or context.
-
B.
componentRepresents
Indicates that one component stands in for, symbolizes, or models another entity or concept within a system or context.
-
C.
canRepresent
Indicates that one entity is capable of serving as a valid stand-in, proxy, or expression for another entity in a given context.
-
D.
formerRepresentation
Indicates that one entity previously served as the representative (e.g., legal, political, or organizational) of another entity, but no longer holds that role.
-
E.
representationType
chosen
Indicates the specific form or mode in which something is represented or expressed (e.g., as a symbol, image, model, or description).
- 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_69ad857c97d88190b26f9b1c90839c77 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada239a8c88190a746892b56ee7e02 |
completed | March 8, 2026, 4:22 p.m. |
| PD | Predicate disambiguation | batch_69ad9ded78f881908be6fc0fb7c35764 |
completed | March 8, 2026, 4:03 p.m. |
Created at: March 8, 2026, 3:03 p.m.