Triple
T18276097
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Western Nautical Highway |
E437737
|
entity |
| Predicate | hasAbbreviation |
P43
|
FINISHED |
| Object |
WNH
WNH is the abbreviation for the Western Nautical Highway, a major roll-on/roll-off shipping and transport route in the Philippines.
|
E1315176
|
NE FINISHED |
How this triple was built (4 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: WNH | Statement: [Western Nautical Highway, hasAbbreviation, WNH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WNH Context triple: [Western Nautical Highway, hasAbbreviation, WNH]
-
A.
NWH
NWH is the three-letter station code for Northwood Hills, a London Underground station on the Metropolitan line.
-
B.
WN6
WN6 is a postcode district in the Wigan area of Greater Manchester, England.
-
C.
WN
WN is a postcode area in North West England that covers parts of Wigan and surrounding towns.
-
D.
WN
WN is the IATA airline designator used to identify Southwest Airlines in flight schedules, ticketing, and aviation operations.
-
E.
WN
WN is the vehicle registration code used on license plates for the Waiblingen district in the German state of Baden-Württemberg.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: WNH Triple: [Western Nautical Highway, hasAbbreviation, WNH]
Generated description
WNH is the abbreviation for the Western Nautical Highway, a major roll-on/roll-off shipping and transport route in the Philippines.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WNH Target entity description: WNH is the abbreviation for the Western Nautical Highway, a major roll-on/roll-off shipping and transport route in the Philippines.
-
A.
NWH
NWH is the three-letter station code for Northwood Hills, a London Underground station on the Metropolitan line.
-
B.
WN6
WN6 is a postcode district in the Wigan area of Greater Manchester, England.
-
C.
WN
WN is the IATA airline designator used to identify Southwest Airlines in flight schedules, ticketing, and aviation operations.
-
D.
WN
WN is the vehicle registration code used on license plates for the Waiblingen district in the German state of Baden-Württemberg.
-
E.
WN
WN is a postcode area in North West England that covers parts of Wigan and surrounding towns.
- F. None of above. chosen
Provenance (5 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_69d8b914530c8190b4474d862a2b2a1b |
completed | April 10, 2026, 8:47 a.m. |
| NER | Named-entity recognition | batch_69e50051bccc8190832eacdb6945d6b7 |
completed | April 19, 2026, 4:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a03b3fdff648190a738adf86d8d470b |
completed | May 12, 2026, 11:13 p.m. |
| NEDg | Description generation | batch_6a03b4bb6ae48190a68c2a3314f0d3ba |
completed | May 12, 2026, 11:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a03b56958a0819088613a9726c71819 |
completed | May 12, 2026, 11:19 p.m. |
Created at: April 10, 2026, 10:34 a.m.