Triple
T15951647
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tepe Group |
E386831
|
entity |
| Predicate | hasSubsidiary |
P254
|
FINISHED |
| Object | TAV Airports |
E285091
|
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: TAV Airports | Statement: [Tepe Group, hasSubsidiary, TAV Airports]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TAV Airports Context triple: [Tepe Group, hasSubsidiary, TAV Airports]
-
A.
TAV Airports Holding
chosen
TAV Airports Holding is a Turkish airport operating company that manages and develops a network of airports primarily in Turkey and other countries.
-
B.
Hermes Airports Ltd
Hermes Airports Ltd is a Cypriot airport management company responsible for operating and developing major international airports in Cyprus.
-
C.
NMIA Airports Limited
NMIA Airports Limited is the company responsible for managing and operating Jamaica’s Norman Manley International Airport in Kingston.
-
D.
GMR Airports
GMR Airports is an Indian airport development and operations company that manages and operates multiple airports in India and abroad as part of the GMR Group’s infrastructure portfolio.
-
E.
Vinci Airports
Vinci Airports is a global airport operator that manages and develops a large network of airports across multiple countries as part of the Vinci Group’s transport infrastructure portfolio.
- 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_69d86da882448190a82ea962fe343b79 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156d59f5081909f6a81d578c4e2e8 |
completed | April 16, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffcf16b1b881909768d18b889260da |
completed | May 10, 2026, 12:19 a.m. |
Created at: April 10, 2026, 4:53 a.m.