Triple
T11884846
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | National Highway 1A (Vietnam) |
E282751
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | QL1A |
E869638
|
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: QL1A | Statement: [National Highway 1A (Vietnam), alsoKnownAs, QL1A]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: QL1A Context triple: [National Highway 1A (Vietnam), alsoKnownAs, QL1A]
-
A.
QL1A
chosen
QL1A is Vietnam’s primary north–south national highway, running the length of the country and connecting most major cities and regions.
-
B.
Q-LINK
Q-LINK is the radio callsign used by QantasLink, the regional airline brand of Qantas Airways in Australia.
-
C.
QT-1
QT-1 is a robot character from Isaac Asimov’s science fiction story “Reason,” notable for its philosophical questioning of reality and its creators.
-
D.
K1A1
The K1A1 is a South Korean main battle tank, an upgraded variant of the K1 featuring enhanced firepower, armor, and a 120 mm smoothbore main gun.
-
E.
A71
A71 is a major French autoroute that runs through central France, connecting the Paris region to Clermont-Ferrand and linking with other key motorways.
- 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_69d6ab2a90b08190a4e818821cc93e6d |
completed | April 8, 2026, 7:23 p.m. |
| NER | Named-entity recognition | batch_69d8d3a02ad4819090faef0e0be732ee |
completed | April 10, 2026, 10:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f281f488a8819082f40dfdd12f29a2 |
completed | April 29, 2026, 10:11 p.m. |
Created at: April 8, 2026, 9:44 p.m.