Triple
T16442260
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CTA rail network |
E399332
|
entity |
| Predicate | hasStation |
P35
|
FINISHED |
| Object | State/Lake |
E366593
|
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: State/Lake | Statement: [CTA rail network, hasStation, State/Lake]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: State/Lake Context triple: [CTA rail network, hasStation, State/Lake]
-
A.
State/Lake
chosen
State/Lake is an elevated Chicago 'L' station in the Loop that serves the Brown Line and several other CTA train lines.
-
B.
Stan State
Stan State is the commonly used name for California State University, Stanislaus, a public university in Turlock, California, known for its diverse academic programs and regional impact.
-
C.
Morvee State
Morvee State is a former princely state in western India, historically located in present-day Gujarat.
-
D.
Aimeliik State
Aimeliik State is one of the states of Palau, located on the western side of the island of Babeldaob and known for its traditional villages and coastal mangrove forests.
-
E.
State
State is a behavioral design pattern that lets an object alter its behavior when its internal state changes, making it appear as if the object has changed its class.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ba91dc48190bc35db60f63d36d3 |
completed | April 18, 2026, 6:58 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00458f8f3c8190ad5eff2ad2a32dea |
completed | May 10, 2026, 8:45 a.m. |
Created at: April 10, 2026, 5:10 a.m.