Triple
T7946141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Enshi Xujiaping Airport |
E184501
|
entity |
| Predicate | pushpinLabel |
P9248
|
FINISHED |
| Object | ENH |
E704489
|
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: ENH | Statement: [Enshi Xujiaping Airport, pushpinLabel, ENH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: ENH Context triple: [Enshi Xujiaping Airport, pushpinLabel, ENH]
-
A.
ENH
chosen
ENH is the IATA airport code for Enshi Xujiaping Airport, a regional airport serving Enshi in Hubei Province, China.
-
B.
EH
EH is the postcode area covering Edinburgh and surrounding parts of eastern Scotland.
-
C.
EH
EH is the ISO 3166-1 alpha-2 country code assigned to Western Sahara.
-
D.
Enz
The Enz is a river in southwestern Germany that flows through the Black Forest region before joining the Neckar River.
-
E.
EHN1
EHN1 is a large experimental hall in CERN’s North Area used for fixed-target and test-beam particle physics experiments served by the Super Proton Synchrotron.
- 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_69ca8291c2008190b1b8832c87814bcf |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3b29a570819091a2ac185a8d57c4 |
completed | March 31, 2026, 3:10 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc5650cfb08190846e040f85c8369d |
completed | March 31, 2026, 11:18 p.m. |
Created at: March 30, 2026, 5:09 p.m.