Triple
T31998291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dublin Port Tunnel |
E817051
|
entity |
| Predicate | numberOfLanesPerBore |
P18336
|
FINISHED |
| Object | 2 |
—
|
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: 2 | Statement: [Dublin Port Tunnel, numberOfLanesPerBore, 2]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfLanesPerBore Context triple: [Dublin Port Tunnel, numberOfLanesPerBore, 2]
-
A.
numberOfBores
Indicates the relationship specifying how many bores (e.g., cylindrical holes or channels) are present in or associated with an object.
-
B.
laneCount
chosen
Indicates the number of parallel lanes associated with a given road or roadway segment.
-
C.
hasLanes
Indicates that an entity, such as a road or pathway, is divided into one or more distinct lanes for traffic or movement.
-
D.
numberOfLanesInFinal
Indicates the total count of lanes present in the final stage or configuration of something (e.g., a road, track, or process).
-
E.
hasTrackLanes
Indicates that an entity (such as a road or track) includes one or more designated lanes for vehicle or train movement.
- 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_69f348f8ce388190ae84376b1f348f12 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_6a017590e01c8190b985bb50cc6cd605 |
completed | May 11, 2026, 6:22 a.m. |
| PD | Predicate disambiguation | batch_6a0175406b348190a5809b5f3497d46f |
completed | May 11, 2026, 6:20 a.m. |
Created at: May 1, 2026, 12:14 a.m.