Triple
T13464201
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gabala FK |
E311452
|
entity |
| Predicate | homeCity |
P263
|
FINISHED |
| Object | Qabala |
E567116
|
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: Qabala | Statement: [Gabala FK, homeCity, Qabala]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Qabala Context triple: [Gabala FK, homeCity, Qabala]
-
A.
Kabala
chosen
Kabala was an ancient city that served as the capital of the historical kingdom of Caucasian Albania in the eastern Caucasus region.
-
B.
The Cabala
The Cabala is a 1926 novel by Thornton Wilder that portrays a young American’s encounters with an enigmatic circle of aristocrats and eccentrics in post–World War I Rome.
-
C.
Qabalan
Qabalan is a Palestinian town located in the Nablus area of the northern West Bank.
-
D.
Kabbalah
Kabbalah is a Jewish mystical tradition that explores the hidden, spiritual dimensions of God, the universe, and the Torah through symbolic and esoteric teachings.
-
E.
Kabola
Kabola is a Papuan language spoken on Alor Island in eastern Indonesia, belonging to the Alor–Pantar language family.
- 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_69d806a938b8819097ec43a2229fc7f9 |
completed | April 9, 2026, 8:06 p.m. |
| NER | Named-entity recognition | batch_69dbaf0f1830819085700b4521e44678 |
completed | April 12, 2026, 2:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f746282318819090e47c324807dc1e |
completed | May 3, 2026, 12:57 p.m. |
Created at: April 9, 2026, 9:41 p.m.