Triple
T9592024
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | T-AGOR-28 |
E231442
|
entity |
| Predicate | hasHullClassificationSymbol |
P6097
|
FINISHED |
| Object | T-AGOR-28 |
E231442
|
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: T-AGOR-28 | Statement: [T-AGOR-28, hasHullClassificationSymbol, T-AGOR-28]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: T-AGOR-28 Context triple: [T-AGOR-28, hasHullClassificationSymbol, T-AGOR-28]
-
A.
T-AGOR-28
chosen
T-AGOR-28 is the hull classification symbol for USNS Sally Ride, a U.S. Navy oceanographic research vessel operated by the Military Sealift Command.
-
B.
Ageo
Ageo is a city in Japan known as a residential and industrial hub within the Greater Tokyo metropolitan area.
-
C.
Ager
Ager is a surname most notably associated with American composer and songwriter Milton Ager, known for popular songs of the early 20th century.
-
D.
Agen
Agen is a historic town in southwestern France known for its prunes and location between Bordeaux and Toulouse.
-
E.
Tayasan
Tayasan is a coastal municipality in the province of Negros Oriental in the Philippines, known for its rural communities and agricultural economy.
- 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_69ca8482884481908eccdfdf64d6fbf7 |
completed | March 30, 2026, 2:11 p.m. |
| NER | Named-entity recognition | batch_69cd9a10b85881908bfc783dcb7170aa |
completed | April 1, 2026, 10:20 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1618dfb688190bddd93c51bb6df41 |
completed | April 4, 2026, 7:07 p.m. |
Created at: March 30, 2026, 8:06 p.m.