Triple
T7302140
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Farringdon |
E167882
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object | ZFD |
E496180
|
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: ZFD | Statement: [Farringdon, hasStationCode, ZFD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ZFD Context triple: [Farringdon, hasStationCode, ZFD]
-
A.
ZFD
chosen
ZFD is the National Rail station code used to identify Farringdon railway station in London.
-
B.
FZ
FZ is the vehicle registration code assigned to cars registered in the city of Zielona Góra in western Poland.
-
C.
FZ
FZ is the IATA airline designator assigned to flydubai, the low-cost carrier based in Dubai, United Arab Emirates.
-
D.
ZF
ZF is the standard axiomatic framework for set theory that underpins much of modern mathematics.
-
E.
ZFF
ZFF is the abbreviation for the Zurich Film Festival, an annual international film festival held in Zurich, Switzerland.
- 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_69c6888c820881909fc68f689fe1c251 |
completed | March 27, 2026, 1:39 p.m. |
| NER | Named-entity recognition | batch_69c6ebb09164819099c4479d48c1688a |
completed | March 27, 2026, 8:42 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7e558098c819091562566c59332e2 |
completed | March 28, 2026, 2:27 p.m. |
Created at: March 27, 2026, 3:01 p.m.