Triple
T17336997
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tibb |
E420965
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object | Tibbe |
—
|
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: Tibbe | Statement: [Tibb, hasSpellingVariant, Tibbe]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tibbe Context triple: [Tibb, hasSpellingVariant, Tibbe]
-
A.
Tibalt
Tibalt is a male given name best known from Shakespeare’s "Romeo and Juliet," where it belongs to the hot-tempered Capulet swordsman Tybalt.
-
B.
Tibb
chosen
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.
-
C.
Tengster
Tengster is an alternative name for Taktser, a village in the Amdo region of northeastern Tibet best known as the birthplace of the 14th Dalai Lama.
-
D.
Beldibi
Beldibi is a coastal resort village in Turkey’s Antalya Province, known for its beaches, forested mountain backdrop, and proximity to ancient ruins and natural attractions.
-
E.
Kibber
Kibber is a high-altitude Himalayan village in Himachal Pradesh’s Spiti Valley, known for its stark landscapes, Tibetan Buddhist culture, and proximity to Kibber Wildlife Sanctuary.
- 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_69d889d3adc881909319f1edb8d2a956 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e43a12e1288190a81c30d6e1e9652f |
completed | April 19, 2026, 2:12 a.m. |
Created at: April 10, 2026, 5:43 a.m.