Triple
T14246154
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matei Airport |
E353138
|
entity |
| Predicate | servesCity |
P82
|
FINISHED |
| Object | Matei |
E1087394
|
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: Matei | Statement: [Matei Airport, servesCity, Matei]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Matei Context triple: [Matei Airport, servesCity, Matei]
-
A.
Matei
chosen
Matei is a small coastal village on the island of Taveuni in Fiji, known for its airport and access to nearby resorts and natural attractions.
-
B.
Miron
Miron is a masculine given name of Slavic and Greek origin, commonly used in Eastern Europe and derived from a word meaning "myrrh" or "fragrant oil."
-
C.
Timotei
Timotei is a given name, commonly used in Eastern European and Scandinavian countries, that is related to the name Timofey.
-
D.
Aurel
Aurel is a masculine given name most notably borne by the Hungarian-British archaeologist and explorer Aurel Stein, famed for his expeditions along the Silk Road.
-
E.
Grigore
Grigore is a masculine given name of Eastern European origin, commonly used in Romanian-speaking regions and related to the name Grigor.
- 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_69d8278adc7c8190a9218d69bce3c4e6 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de629464f88190817b190731bab156 |
completed | April 14, 2026, 3:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd3256026c8190814dd8ccd79c4b53 |
completed | May 8, 2026, 12:46 a.m. |
Created at: April 10, 2026, 1:08 a.m.