Triple
T1397816
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | ACT |
E30706
|
entity |
| Predicate | relatedTo |
P37
|
FINISHED |
| Object | TAS |
E66652
|
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: TAS | Statement: [ACT, relatedTo, TAS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TAS Context triple: [ACT, relatedTo, TAS]
-
A.
TS
TS is the Technical Secretariat of the Organisation for the Prohibition of Chemical Weapons, the body responsible for implementing and verifying compliance with the Chemical Weapons Convention.
-
B.
TAI
TAI is the high-precision time standard used worldwide as the basis for civil timekeeping and scientific measurements.
-
C.
AU-TAS
chosen
AU-TAS is the ISO 3166-2 code representing the Australian state of Tasmania.
-
D.
ATAS
ATAS is the commonly used acronym for the Academy of Television Arts & Sciences, the organization best known for administering the Primetime Emmy Awards.
-
E.
TARS
TARS is a witty, modular, and highly capable robotic assistant featured in the science fiction film "Interstellar."
- 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_69a498fd4e408190bd73eca30ea9754c |
completed | March 1, 2026, 7:52 p.m. |
| NER | Named-entity recognition | batch_69a4c382b6588190833c39ac84fb6139 |
completed | March 1, 2026, 10:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acde353b148190b9122f1d6d80fbd4 |
completed | March 8, 2026, 2:25 a.m. |
Created at: March 1, 2026, 7:59 p.m.