Triple
T7829408
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | U.S. Naval Observatory Master Clock |
E181327
|
entity |
| Predicate | contributesTo |
P477
|
FINISHED |
| Object | TAI |
E116183
|
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: TAI | Statement: [U.S. Naval Observatory Master Clock, contributesTo, TAI]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TAI Context triple: [U.S. Naval Observatory Master Clock, contributesTo, TAI]
-
A.
TAI
chosen
TAI is the high-precision time standard used worldwide as the basis for civil timekeeping and scientific measurements.
-
B.
TAI
TAI is the ICAO airline designator assigned to TACA Airlines, a major Central American carrier.
-
C.
Tai
Tai is an ethnic subgroup of the Ogoni people in Nigeria, known for its distinct cultural identity within the broader Ogoni community.
-
D.
Tai
Tai is a major language family of Southeast Asia that includes languages such as Thai and Lao, spoken by tens of millions of people across the region.
-
E.
TA
TA is a common abbreviation for the Territorial Army, a volunteer reserve force that supports a country's regular armed forces.
- 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_69ca8282ccec819083c48efb72d21cf9 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb04aaed1881908e1da129a43ef9c7 |
completed | March 30, 2026, 11:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cb14b955488190a4ce0178d84d1dc6 |
completed | March 31, 2026, 12:26 a.m. |
Created at: March 30, 2026, 4:44 p.m.