Triple
T16277618
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wayne Junction |
E395173
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
WJN
WJN is the station code for Wayne Junction, a major regional rail hub in Philadelphia, Pennsylvania.
|
E1204766
|
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: WJN | Statement: [Wayne Junction, hasStationCode, WJN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: WJN Context triple: [Wayne Junction, hasStationCode, WJN]
-
A.
WJA
WJA is the ICAO airline designator used for WestJet, a major Canadian low-cost carrier.
-
B.
WNJU
WNJU is a Spanish-language television station serving the New York City metropolitan area and acting as the Telemundo network’s local outlet.
-
C.
KWJ
KWJ is the IATA airport code for Gwangju Airport, a regional airport serving the city of Gwangju in South Korea.
-
D.
WIJJ
WIJJ was the former ICAO airport code assigned to JOG, the airport serving Yogyakarta, Indonesia.
-
E.
WFJ
WFJ is the National Rail station code for Watford Junction, a major railway hub in Hertfordshire, England, serving commuter, regional, and long-distance services.
- 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: WJN Triple: [Wayne Junction, hasStationCode, WJN]
Generated description
WJN is the station code for Wayne Junction, a major regional rail hub in Philadelphia, Pennsylvania.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: WJN Target entity description: WJN is the station code for Wayne Junction, a major regional rail hub in Philadelphia, Pennsylvania.
-
A.
WJA
WJA is the ICAO airline designator used for WestJet, a major Canadian low-cost carrier.
-
B.
WNJU
WNJU is a Spanish-language television station serving the New York City metropolitan area and acting as the Telemundo network’s local outlet.
-
C.
KWJ
KWJ is the IATA airport code for Gwangju Airport, a regional airport serving the city of Gwangju in South Korea.
-
D.
WIJJ
WIJJ was the former ICAO airport code assigned to JOG, the airport serving Yogyakarta, Indonesia.
-
E.
WFJ
WFJ is the National Rail station code for Watford Junction, a major railway hub in Hertfordshire, England, serving commuter, regional, and long-distance services.
- 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_69d87f22c7248190a54c949738441e2e |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e2460f73648190b5c931f2ba2a09da |
completed | April 17, 2026, 2:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0017c2b9688190b96d62d83a03f158 |
completed | May 10, 2026, 5:29 a.m. |
| NEDg | Description generation | batch_6a00191957b8819083cf576e481c3429 |
completed | May 10, 2026, 5:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0019a24abc819083441f178323c646 |
completed | May 10, 2026, 5:37 a.m. |
Created at: April 10, 2026, 5:05 a.m.