Triple
T6719835
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Worcester Foregate Street railway station |
E153365
|
entity |
| Predicate | hasCrsCode |
P18366
|
FINISHED |
| Object | WOF |
E613984
|
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: WOF | Statement: [Worcester Foregate Street railway station, hasCrsCode, WOF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WOF Context triple: [Worcester Foregate Street railway station, hasCrsCode, WOF]
-
A.
WOF
chosen
WOF is the National Rail station code for Worcester Foregate Street railway station in Worcester, England.
-
B.
Wolio
Wolio is an Austronesian language spoken primarily by the Wolio people on Buton Island in Southeast Sulawesi, Indonesia.
-
C.
WOFL
WOFL is a Fox-affiliated television station serving the Orlando, Florida media market.
-
D.
WoS
WoS is a racing-themed video game centered on high-speed car competitions and online multiplayer gameplay.
-
E.
WOT
WOT is the commonly used abbreviation for Poland’s Territorial Defence Force, a military formation focused on homeland security and support to civil authorities.
- 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_69c68809b4608190a2509ddb5ab87f05 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d137084881908e04ee6b2bd45585 |
completed | March 27, 2026, 6:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70afcbe308190909fe8f34ca8e5e2 |
completed | March 27, 2026, 10:55 p.m. |
Created at: March 27, 2026, 2:07 p.m.