Triple
T30664447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Del Moral |
E780620
|
entity |
| Predicate | isStationOnCorridor |
P145062
|
FINISHED |
| Object | Line 2 corridor |
—
|
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: Line 2 corridor | Statement: [Del Moral, isStationOnCorridor, Line 2 corridor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isStationOnCorridor Context triple: [Del Moral, isStationOnCorridor, Line 2 corridor]
-
A.
isStopOnCorridor
Indicates that a location functions as a designated stop situated along a corridor or route.
-
B.
isGatewayCorridorFor
Indicates that something serves as a primary access route or passageway enabling movement or connection to another place, system, or area.
-
C.
hasServiceOnCorridor
Indicates that a service operates along, or is provided on, a specific corridor or route.
-
D.
identifiesStationWithinLine
chosen
Indicates that a specific station is recognized as belonging to, or located within, a particular transit line.
-
E.
isBetweenStationsOnLine
Indicates that something is located or occurs between two stations along the same transit line.
- 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_69f224a6d10481909290be1a00fc83b3 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f68f670b608190a0b6ab60d722b4e0 |
completed | May 2, 2026, 11:57 p.m. |
| PD | Predicate disambiguation | batch_69f68b7b03488190b1db5fde4c7dd6e5 |
completed | May 2, 2026, 11:40 p.m. |
Created at: April 29, 2026, 8:31 p.m.