Triple
T8068677
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ITH |
E188310
|
entity |
| Predicate | hasICAOCode |
P419
|
FINISHED |
| Object | KITH |
E188311
|
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: KITH | Statement: [ITH, hasICAOCode, KITH]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: KITH Context triple: [ITH, hasICAOCode, KITH]
-
A.
KITH
chosen
KITH is the ICAO airport code for Ithaca Tompkins International Airport in Ithaca, New York, which serves the Finger Lakes region with regional commercial flights.
-
B.
DNKN
DNKN is the ICAO airport code for Mallam Aminu Kano International Airport in Kano, Nigeria.
-
C.
Nike
Nike is the Greek goddess who personifies victory, often depicted as a winged figure symbolizing triumph in both war and peaceful competition.
-
D.
Reebok
Reebok is a global athletic footwear and apparel brand known for its sportswear, fitness-focused products, and collaborations in running, training, and lifestyle markets.
-
E.
Onitsuka Tiger
Onitsuka Tiger is a Japanese athletic footwear and apparel brand known for its retro-styled sneakers and as the predecessor to the modern ASICS corporation.
- 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_69ca82b42674819086840efea12478e5 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ffbd59c8190a34398ddb4ee551e |
completed | March 31, 2026, 3:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63e587908190980f1f026f4aa153 |
completed | April 1, 2026, 12:16 a.m. |
Created at: March 30, 2026, 5:27 p.m.