Triple
T23462574
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PIE |
E569020
|
entity |
| Predicate | IATACode |
P418
|
FINISHED |
| Object | PIE |
—
|
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: PIE | Statement: [PIE, IATACode, PIE]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PIE Context triple: [PIE, IATACode, PIE]
-
A.
PIE
PIE is the commonly used abbreviation for Proto-Indo-European, the hypothetical prehistoric ancestor of most modern European and many South and Central Asian languages.
-
B.
PIE
chosen
PIE is the three-letter FAA airport code for St. Pete–Clearwater International Airport serving the Tampa Bay area in Florida.
-
C.
Pie-IX
Pie-IX is a Montreal Metro station in the Mercier–Hochelaga-Maisonneuve borough, serving as a key transit access point to the Olympic Stadium and surrounding attractions.
-
D.
The Pie
The Pie is the small English village pub featured in the 1963 film "The V.I.P.s," where the character Mi Taylor has a connection.
-
E.
The Pie
The Pie is the spirited horse ridden by Velvet Brown in the classic novel and film "National Velvet."
- 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_69e2458ebd808190b3298163132cfb0b |
completed | April 17, 2026, 2:37 p.m. |
| NER | Named-entity recognition | batch_69f1a69cf7c48190b4d44e500f955b99 |
completed | April 29, 2026, 6:35 a.m. |
Created at: April 17, 2026, 5:54 p.m.