Triple
T13827249
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Runway 18R/36L |
E332281
|
entity |
| Predicate | belongsToAirportWithIATACode |
P45234
|
FINISHED |
| Object | MEM |
E251305
|
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: MEM | Statement: [Runway 18R/36L, belongsToAirportWithIATACode, MEM]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MEM Context triple: [Runway 18R/36L, belongsToAirportWithIATACode, MEM]
-
A.
MEM
chosen
MEM is the three-letter IATA airport code for Memphis International Airport in Memphis, Tennessee.
-
B.
MEM
MEM is the acronym for the Multilateral Evaluation Mechanism, an international framework used to assess and monitor countries’ progress in implementing agreed policies or commitments, often in areas such as drug control or public policy.
-
C.
Mem
Mem is the thirteenth letter of the Hebrew alphabet, representing the "m" sound and having both standard and final written forms.
-
D.
Memory
"Memory" is a symbolist painting by American artist Elihu Vedder, known for its evocative, allegorical depiction of remembrance and loss.
-
E.
Memory
"Memory" is a science fiction novel in Lois McMaster Bujold’s Vorkosigan Saga, focusing on Miles Vorkosigan’s personal and professional crisis after a debilitating medical incident.
- 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_69d81c5ae7c88190b0dd41bdafeb5999 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de0295d2d48190b08eba0d805bd72d |
completed | April 14, 2026, 9:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b8ea22c081909cc34f1030a8589b |
completed | May 3, 2026, 9:06 p.m. |
Created at: April 9, 2026, 10:13 p.m.