Triple
T8535383
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tushpa |
E202064
|
entity |
| Predicate | hasAlternativeName |
P39
|
FINISHED |
| Object | Tosp |
E721130
|
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: Tosp | Statement: [Tushpa, hasAlternativeName, Tosp]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tosp Context triple: [Tushpa, hasAlternativeName, Tosp]
-
A.
Tose
Tose is the surname of Leonard Tose, the former owner of the Philadelphia Eagles NFL franchise.
-
B.
Tozzer
Tozzer is a surname most notably associated with Alfred Marston Tozzer, an American anthropologist and archaeologist known for his pioneering work on Mayan civilization.
-
C.
La To
La To is a Vietnamese deity venerated as a patron of medicine and physicians.
-
D.
Tsopk
chosen
Tsopk is the Armenian name for the ancient region of Sophene, a historical province located in the highlands of what is now eastern Turkey.
-
E.
Tosora
Tosora is a historic town in South Sulawesi, Indonesia, known as the former political and cultural center of the Bugis Kingdom of Wajo.
- 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_69ca832355b08190b8b6a4ab4a4a3554 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe6a295c88190a432a060ee73f04e |
completed | March 31, 2026, 3:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce6d8332cc819083c86e0dc58bcc37 |
completed | April 2, 2026, 1:22 p.m. |
Created at: March 30, 2026, 6:17 p.m.