Triple
T14107689
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chu Lai, South Vietnam |
E339547
|
entity |
| Predicate | firstMarinesArrived |
P112836
|
FINISHED |
| Object | 1965 |
—
|
LITERAL 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: 1965 | Statement: [Chu Lai, South Vietnam, firstMarinesArrived, 1965]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: firstMarinesArrived Context triple: [Chu Lai, South Vietnam, firstMarinesArrived, 1965]
-
A.
firstCrewBoarded
Indicates that the initial group of crew members has boarded or entered a specified vehicle, vessel, or location.
-
B.
firstShotsFiredOn
Indicates that the referenced event or entity marks the initial occurrence of shots being fired on a specified date, time, or occasion.
-
C.
musteredIn
Indicates that an individual or unit was formally enrolled, assembled, or brought into active service within an organization, typically a military force.
-
D.
firstAlliedAircraftLanded
Indicates that the event represents the moment when the first aircraft belonging to allied forces successfully landed at a specified location.
-
E.
firstShotsFiredAt
Indicates the location or time at which the initial gunshots or opening fire in an incident occurred.
- F. None of above. chosen
Provenance (4 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_69d81c69b5c8819094aa1abf18302908 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de600ada808190b92d67dc30f13d15 |
completed | April 14, 2026, 3:40 p.m. |
| PD | Predicate disambiguation | batch_69de05b2f7e481908a9a7d40153234c0 |
completed | April 14, 2026, 9:15 a.m. |
| PDg | Predicate description generation | batch_69de2398856c81908bed6070e4ca6ab1 |
completed | April 14, 2026, 11:23 a.m. |
Created at: April 9, 2026, 10:22 p.m.