Triple
T10769813
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TMB 3000 series |
E254043
|
entity |
| Predicate | hasGangways |
P26478
|
FINISHED |
| Object | inter‑car gangways |
—
|
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: inter‑car gangways | Statement: [TMB 3000 series, hasGangways, inter‑car gangways]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasGangways Context triple: [TMB 3000 series, hasGangways, inter‑car gangways]
-
A.
hasGangway
chosen
Indicates that one entity is equipped with or connected to a gangway that provides access or passage to or from another entity.
-
B.
hasBerths
Indicates that one entity provides or contains sleeping or docking berths for another entity.
-
C.
hasPier
Indicates that a location or structure possesses or includes a pier as part of its features.
-
D.
gangwayType
Indicates the specific kind or configuration of gangway used to provide passage between areas or vehicles.
-
E.
hasPiersOn
Indicates that one structure or location is supported or extended by piers that are physically situated on another structure or surface.
- 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_69d6aa5f54f4819082d0bbcb6f8797e6 |
completed | April 8, 2026, 7:19 p.m. |
| NER | Named-entity recognition | batch_69d732307fb88190ba1447f68523c58a |
completed | April 9, 2026, 4:59 a.m. |
| PD | Predicate disambiguation | batch_69d6f31455648190b5c24690487b1b54 |
completed | April 9, 2026, 12:30 a.m. |
Created at: April 8, 2026, 9:16 p.m.