Triple
T2795878
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wakefield |
E53034
|
entity |
| Predicate | postalCodeArea |
P920
|
FINISHED |
| Object | WF |
E194383
|
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: WF | Statement: [Wakefield, postalCodeArea, WF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WF Context triple: [Wakefield, postalCodeArea, WF]
-
A.
WF
chosen
WF is the common abbreviation for Wikifunctions, a Wikimedia project aimed at creating a collaborative catalog of reusable functions.
-
B.
FW
FW is the IATA airline designator assigned to the Japanese regional carrier Ibex Airlines.
-
C.
WN
WN is the IATA airline designator used to identify Southwest Airlines in flight schedules, ticketing, and aviation operations.
-
D.
WD
WD is a consumer-facing brand of Western Digital known for its hard drives, solid-state drives, and other data storage products.
-
E.
W
W is one of the iconic white capital letters that make up the famous Hollywood Sign overlooking Los Angeles.
- 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_69ab495a90788190941b6917e1eca3a6 |
completed | March 6, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69abddef754081908e6218dc2208e0fd |
completed | March 7, 2026, 8:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afc6646c2c81908157d8f03cb8376d |
completed | March 10, 2026, 7:21 a.m. |
Created at: March 6, 2026, 9:58 p.m.