Triple
T5481600
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | oneM2M |
E123477
|
entity |
| Predicate | hasMember |
P10
|
FINISHED |
| Object | TIA |
E523130
|
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: TIA | Statement: [oneM2M, hasMember, TIA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TIA Context triple: [oneM2M, hasMember, TIA]
-
A.
TIA
TIA is the IATA airport code for Tirana International Airport, the main air gateway to Albania’s capital city.
-
B.
TIA
chosen
TIA is a leading U.S.-based trade association that develops standards and advocates for companies in the global information and communications technology (ICT) and telecommunications industry.
-
C.
TAI
TAI is the high-precision time standard used worldwide as the basis for civil timekeeping and scientific measurements.
-
D.
TAI
TAI is the ICAO airline designator assigned to TACA Airlines, a major Central American carrier.
-
E.
TTA
TTA (Telecommunications Technology Association) is South Korea’s primary standards organization for information and communication technologies, contributing to global telecom standards development.
- 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_69bd4648883481909e9775d43300c5fa |
completed | March 20, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69bd924a2eb08190b759b23a6eab5e0a |
completed | March 20, 2026, 6:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bf6c812d4c8190a22f76b787ab0f10 |
completed | March 22, 2026, 4:13 a.m. |
Created at: March 20, 2026, 2:09 p.m.