Triple
T19927195
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Avlabari |
E478955
|
entity |
| Predicate | hasStationCode |
P1289
|
FINISHED |
| Object | TBIL-Avlabari |
—
|
NE NERFINISHED |
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: TBIL-Avlabari | Statement: [Avlabari, hasStationCode, TBIL-Avlabari]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TBIL-Avlabari Context triple: [Avlabari, hasStationCode, TBIL-Avlabari]
-
A.
Tibni
Tibni was a short-lived rival claimant to the throne of the northern Kingdom of Israel in the Hebrew Bible, who contested kingship against Omri.
-
B.
Avlabari
chosen
Avlabari is a metro station in Tbilisi, Georgia, serving the historic Avlabari district on the city's left bank.
-
C.
Tawilis
Tawilis is a small freshwater sardine species found only in the Philippines’ Taal Lake and is notable as the world’s only known freshwater sardine.
-
D.
Tibb
Tibb is a medieval English given name, often a diminutive of names like Theobald or Tibalt, that later appeared as a root for surnames such as Tibbets.
-
E.
Tabiti
Tabiti is the Scythian goddess of the hearth and fire, revered as a central protective and domestic deity in their pantheon.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8e521855c8190b41871700afc8d6a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e659ca52c881908dc8053bf61be4c4 |
completed | April 20, 2026, 4:52 p.m. |
Created at: April 10, 2026, 1:53 p.m.