Triple
T13740804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hawarden railway station |
E330078
|
entity |
| Predicate | stationCode |
P1289
|
FINISHED |
| Object | HWD |
E596168
|
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: HWD | Statement: [Hawarden railway station, stationCode, HWD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HWD Context triple: [Hawarden railway station, stationCode, HWD]
-
A.
HWD
chosen
HWD is the three-letter IATA airport code assigned to Hayward Executive Airport in Hayward, California.
-
B.
HWN
HWN is the National Rail station code for Harlow Town railway station in Essex, England.
-
C.
WHD
WHD is the U.S. Department of Labor’s Wage and Hour Division, the federal agency responsible for enforcing minimum wage, overtime pay, child labor, and other key labor standards.
-
D.
WDH
WDH is the IATA airport code for Hosea Kutako International Airport, the main international gateway serving Windhoek and Namibia.
-
E.
HWH
HWH is the station code for Howrah Junction, one of India’s busiest and oldest major railway terminals serving the Kolkata metropolitan area.
- 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_69d80772315881908f980cae40d91664 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69de0206a4b88190a60914e2b43e54f9 |
completed | April 14, 2026, 8:59 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f79d6db3a48190a4f3595355f9073b |
completed | May 3, 2026, 7:09 p.m. |
Created at: April 9, 2026, 9:55 p.m.