Triple
T23122922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Seejiq |
E576948
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Sediq |
—
|
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: Sediq | Statement: [Seejiq, hasAlternativeName, Sediq]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sediq Context triple: [Seejiq, hasAlternativeName, Sediq]
-
A.
Sediq
chosen
Sediq is an Austronesian indigenous language spoken by the Seediq people of central Taiwan.
-
B.
Sadra
Sadra is a town in Gujarat, India, historically notable as the former administrative center of the Mahi Kantha Agency during British rule.
-
C.
Obeidat
Obeidat is a prominent Arab tribe based in eastern Libya, historically influential in the region’s social and political landscape.
-
D.
Saddar
Saddar is a major commercial and administrative district in Karachi, Pakistan, known for its bustling markets, colonial-era architecture, and central location.
-
E.
Shamsa
Shamsa is a member of Dubai’s ruling Al Maktoum family, known internationally for her alleged abduction and forced return to the United Arab Emirates after attempting to escape in 2000.
- 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_69e245f6c2e881909a228fdcfeb7c7d3 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18e517a0481909829a73fdf255d1c |
completed | April 29, 2026, 4:51 a.m. |
Created at: April 17, 2026, 3:59 p.m.