Triple
T8280495
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lot |
E193657
|
entity |
| Predicate | nameInArabic |
P6450
|
FINISHED |
| Object | Lut |
E157953
|
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: Lut | Statement: [Lot, nameInArabic, Lut]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lut Context triple: [Lot, nameInArabic, Lut]
-
A.
Lut
chosen
Lut is a prophet in Islamic tradition, known for being sent to the people of Sodom and Gomorrah and warning them against their immoral behavior.
-
B.
Lutayan
Lutayan is a municipality in the province of Sultan Kudarat in the Philippines, known for its agricultural economy and proximity to Lake Buluan.
-
C.
Liluah
Liluah is a suburban locality in the Howrah district of West Bengal, India, known for its residential areas and railway facilities near Kolkata.
-
D.
Lugana
Lugana is an Italian white wine appellation near Lake Garda, renowned for its fresh, mineral-driven wines primarily made from the Turbiana grape.
-
E.
Luga
Luga is a small historic town in northwestern Russia known for its strategic location and role in regional transport and industry.
- 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_69ca82e217a48190880695635c44b2ed |
completed | March 30, 2026, 2:04 p.m. |
| NER | Named-entity recognition | batch_69cb79ee66e48190af7058b14f3daac9 |
completed | March 31, 2026, 7:38 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd686d9be081908b0490e708f51ad7 |
completed | April 1, 2026, 6:48 p.m. |
Created at: March 30, 2026, 5:51 p.m.