Triple
T18881975
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sion Airport |
E461849
|
entity |
| Predicate | serves |
P98
|
FINISHED |
| Object | Sion |
—
|
NE NERFINISHED |
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: Sion | Statement: [Sion Airport, serves, Sion]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sion Context triple: [Sion Airport, serves, Sion]
-
A.
Sion
chosen
Sion is a historic Swiss town in the canton of Valais, known for its hilltop castles, vineyards, and role as a regional cultural and administrative center.
-
B.
Sion
Sion is a residential and commercial neighborhood in Mumbai, India, known as a key junction connecting the city's central and suburban areas.
-
C.
Sionnan
Sionnan is a figure in Irish mythology associated with the River Shannon, often regarded as the river’s eponymous goddess or origin spirit.
-
D.
Raguil
Raguil is an alternative spelling of Raguel, a traditional archangel name found in various Judeo-Christian angelologies.
-
E.
Sirion
Sirion is one of the greatest rivers of Middle-earth in J.R.R. Tolkien’s legendarium, flowing from the northern regions of Beleriand to the sea and playing a central role in many events of the First Age.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dcfc3430819095ee6fc0eb4c06a5 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c3d2028481908af2b1560312e26c |
completed | April 20, 2026, 6:12 a.m. |
Created at: April 10, 2026, 11:57 a.m.