Triple
T12986608
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Teoh |
E321783
|
entity |
| Predicate | hasVariantSpelling |
P457
|
FINISHED |
| Object | Tiew |
E383155
|
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: Tiew | Statement: [Teoh, hasVariantSpelling, Tiew]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tiew Context triple: [Teoh, hasVariantSpelling, Tiew]
-
A.
Tiu
chosen
Tiu is a variant transliteration of the Chinese surname commonly rendered in English as Zhao.
-
B.
Tialo
Tialo is an Austronesian language of the Tomini–Tolitoli subgroup spoken in Central Sulawesi, Indonesia.
-
C.
Tineg
Tineg is a remote, mountainous municipality in the province of Abra in the Philippines, known for its rugged terrain and largely rural, forested landscape.
-
D.
Tieta
Tieta is a celebrated novel by Brazilian author Jorge Amado that blends social satire, sensuality, and regional life in Bahia through the story of a woman returning in triumph to her conservative hometown.
-
E.
Tzia
Tzia is an alternative name for Kea, a Greek island in the Cyclades known for its traditional villages, beaches, and proximity to Athens.
- 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_69d8076479b8819090afce3591939cdf |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e5f47ec8190b39107bc016f9824 |
completed | April 10, 2026, 10:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c0f95c548190a6fc2c1ea98246c3 |
completed | May 3, 2026, 3:28 a.m. |
Created at: April 9, 2026, 8:40 p.m.