Triple
T22751249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | A5 motorway (Portugal) |
E562703
|
entity |
| Predicate | hasJunctionWith |
P1018
|
FINISHED |
| Object | CRIL |
—
|
NE NERFINISHED |
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: CRIL | Statement: [A5 motorway (Portugal), hasJunctionWith, CRIL]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CRIL Context triple: [A5 motorway (Portugal), hasJunctionWith, CRIL]
-
A.
CRIL
chosen
CRIL is an entity referred to by the acronym “CRIL,” though additional context is needed to determine its specific role or domain.
-
B.
CLRI
CLRI (Central Leather Research Institute) is a premier Indian research organization specializing in leather science and technology, located in Adyar, Chennai.
-
C.
CRL
CRL is the ICAO airline designator used to identify Corsair International in aviation operations and communications.
-
D.
CRL
CRL is the IATA airport code for Brussels South Charleroi Airport, a major low-cost carrier hub serving the Brussels region in Belgium.
-
E.
CRL
CRL is the National Rail station code for Chorley railway station in Lancashire, England.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24551ec7881909a9c924dbea155f6 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f179b9ac348190bff4dc470931f7e3 |
completed | April 29, 2026, 3:23 a.m. |
Created at: April 17, 2026, 3:24 p.m.