Triple
T3135038
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dupont station |
E65506
|
entity |
| Predicate | stationCode |
P1289
|
FINISHED |
| Object | DP |
E282853
|
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: DP | Statement: [Dupont station, stationCode, DP]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DP Context triple: [Dupont station, stationCode, DP]
-
A.
DP
DP is the common abbreviation for the Democratic Party, a former major centrist to center-left political party in Japan.
-
B.
DP
chosen
DP is the IATA airline designator for Pobeda, a Russian low-cost carrier and subsidiary of Aeroflot.
-
C.
DPP
DPP (Device Provisioning Protocol) is a Wi‑Fi Alliance standard that simplifies and secures the process of adding new devices to a Wi‑Fi network without requiring traditional passwords.
-
D.
P
P is the vehicle registration code used on license plates for the Czech city of Plzeň.
-
E.
PO
PO is a UK postcode area covering Portsmouth and surrounding parts of Hampshire and West Sussex.
- 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_69ad8581c25c8190b0d85ba9b9baa531 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69ada562540081908627950dd0b56a1e |
completed | March 8, 2026, 4:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b20f8793488190aa31040edaf1d627 |
completed | March 12, 2026, 12:57 a.m. |
Created at: March 8, 2026, 3:05 p.m.