Triple
T29098203
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | IT (A Wrinkle in Time) |
E735066
|
entity |
| Predicate | controlsCity |
P7580
|
FINISHED |
| Object | Central Central Intelligence |
—
|
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: Central Central Intelligence | Statement: [IT (A Wrinkle in Time), controlsCity, Central Central Intelligence]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: controlsCity Context triple: [IT (A Wrinkle in Time), controlsCity, Central Central Intelligence]
-
A.
operatorCity
Indicates the city in which an operator is based or primarily operates.
-
B.
teamCityControlled
chosen
Indicates that a particular team has control or authority over a given city.
-
C.
city2
Indicates a relationship where one entity is identified as a city associated with, located in, or otherwise linked to another entity.
-
D.
cityOn
Indicates that a city is geographically located on a specified landform, area, or administrative region.
-
E.
city1
Indicates that the subject is classified as a city.
- 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_69f05b0ed66481908f2e864fa550d2f1 |
completed | April 28, 2026, 7 a.m. |
| NER | Named-entity recognition | batch_69fbc9d1dba881908c399b8e1dc13ce2 |
completed | May 6, 2026, 11:08 p.m. |
| PD | Predicate disambiguation | batch_69fbc8ec03ac8190a757563f96fab283 |
completed | May 6, 2026, 11:04 p.m. |
Created at: April 28, 2026, 11:10 a.m.