Triple
T504216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hankou Railway Station |
E10464
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object |
HKN
HKN is the station code for Hankou Railway Station, a major rail transport hub in Wuhan, China.
|
E62893
|
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: HKN | Statement: [Hankou Railway Station, hasStationCode, HKN]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: HKN Context triple: [Hankou Railway Station, hasStationCode, HKN]
-
A.
HKS
HKS is the Harvard Kennedy School, a leading public policy and public administration graduate school at Harvard University.
-
B.
HeKKSaGOn University Alliance
HeKKSaGOn University Alliance is a strategic academic network linking leading universities in Japan and Germany to promote collaborative research, education, and innovation.
-
C.
HKS, Inc.
HKS, Inc. is a global architecture firm known for designing major sports, entertainment, and commercial venues.
-
D.
KNUQ
KNUQ is the ICAO airport code for Moffett Federal Airfield, a joint civil-military airfield located in Moffett Field, California.
-
E.
HMC
HMC is a professional association of leading independent school heads in the United Kingdom and internationally.
- 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: HKN Triple: [Hankou Railway Station, hasStationCode, HKN]
Generated description
HKN is the station code for Hankou Railway Station, a major rail transport hub in Wuhan, China.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: HKN Target entity description: HKN is the station code for Hankou Railway Station, a major rail transport hub in Wuhan, China.
-
A.
HKS
HKS is the Harvard Kennedy School, a leading public policy and public administration graduate school at Harvard University.
-
B.
HeKKSaGOn University Alliance
HeKKSaGOn University Alliance is a strategic academic network linking leading universities in Japan and Germany to promote collaborative research, education, and innovation.
-
C.
HKS, Inc.
HKS, Inc. is a global architecture firm known for designing major sports, entertainment, and commercial venues.
-
D.
KNUQ
KNUQ is the ICAO airport code for Moffett Federal Airfield, a joint civil-military airfield located in Moffett Field, California.
-
E.
HMC
HMC is a professional association of leading independent school heads in the United Kingdom and internationally.
- 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_69a2e848adf881908e5e04f7af030093 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f149bd1c81908ff58ac504ace2bf |
completed | Feb. 28, 2026, 1:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a48a7b71848190ab3e69fc84779301 |
completed | March 1, 2026, 6:50 p.m. |
| NEDg | Description generation | batch_69a48c1329f0819093fa4eb579075243 |
completed | March 1, 2026, 6:57 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a48c688fcc81909d79068875b89aee |
completed | March 1, 2026, 6:58 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.