Triple
T8588913
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Turkish Land Forces |
E203378
|
entity |
| Predicate | shortName |
P43
|
FINISHED |
| Object | TLF |
E203378
|
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: TLF | Statement: [Turkish Land Forces, shortName, TLF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TLF Context triple: [Turkish Land Forces, shortName, TLF]
-
A.
TLF
chosen
TLF is the abbreviation commonly used for the Turkish Land Forces, the main ground warfare branch of Turkey’s military.
-
B.
TLT
TLT is the time zone abbreviation used for Timor Leste Time, the standard time observed in East Timor.
-
C.
TLH
TLH is the IATA airport code for Tallahassee International Airport, the primary commercial airport serving Florida’s state capital.
-
D.
TLA
TLA is a formal specification language developed by Leslie Lamport for describing and reasoning about concurrent and distributed systems using temporal logic.
-
E.
LTFJ
LTFJ is the ICAO airport code for Istanbul Sabiha Gökçen International Airport, a major international airport serving the Asian side of Istanbul, Turkey.
- 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_69ca832a7f108190b4e4f5648abf4aa2 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cc466300bc8190aa5659a4e6a9694a |
completed | March 31, 2026, 10:10 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cea8acebac81909d2fce98c6901f0c |
completed | April 2, 2026, 5:34 p.m. |
Created at: March 30, 2026, 6:23 p.m.