Triple
T18867331
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anput |
E461472
|
entity |
| Predicate | nameVariant |
P744
|
FINISHED |
| Object | Inpwt |
—
|
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: Inpwt | Statement: [Anput, nameVariant, Inpwt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inpwt Context triple: [Anput, nameVariant, Inpwt]
-
A.
PWT
PWT is the time zone abbreviation for the standard time observed in the Republic of Palau, which is nine hours ahead of Coordinated Universal Time (UTC+9).
-
B.
Inpw
chosen
Inpw is the ancient Egyptian name for Anubis, the jackal-headed god associated with mummification and the afterlife.
-
C.
Iput
Iput is a river in Eastern Europe that flows through parts of Russia and Belarus before joining the Sozh River.
-
D.
INPS
INPS is Italy’s main public social security institution, responsible for managing pensions, unemployment benefits, and other welfare provisions for workers and citizens.
-
E.
IPN
IPN is a major Mexican public university system renowned for its strong emphasis on engineering, science, and technology education and research.
- 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c2a617548190be6044bf2c3de6d0 |
completed | April 20, 2026, 6:07 a.m. |
Created at: April 10, 2026, 11:57 a.m.