Triple
T11713871
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 2d Tanks |
E278441
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object | 2d Tanks |
E278441
|
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: 2d Tanks | Statement: [2d Tanks, nickname, 2d Tanks]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 2d Tanks Context triple: [2d Tanks, nickname, 2d Tanks]
-
A.
2d Tanks
chosen
2d Tanks is the commonly used nickname for the U.S. Marine Corps’ 2nd Marine Tank Battalion, a historic armored unit known for its combat service in multiple major conflicts.
-
B.
Terminal 2D
Terminal 2D is a passenger terminal at Paris Charles de Gaulle Airport, serving as one of the facilities handling flights and travelers at this major international hub.
-
C.
Tanks a Million
Tanks a Million is a 1941 American military comedy film best known for starring William Tracy as the fast-talking, regulation-obsessed soldier Dorian "Dodo" Doubleday.
-
D.
2d MLG
2d MLG is a major logistics formation of the United States Marine Corps responsible for providing supply, maintenance, transportation, and support services to Marine forces.
-
E.
Tanker War
The Tanker War was a phase of the Iran–Iraq War during which both sides attacked oil tankers and merchant shipping in the Persian Gulf to disrupt each other’s economic lifelines and pressure international involvement.
- 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_69d6aaff2ce88190b4a1e4b341ad5377 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a4bf54d88190a8e07fbbf8d9e962 |
completed | April 10, 2026, 7:20 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef838562d08190b9a764e88c50d423 |
completed | April 27, 2026, 3:40 p.m. |
Created at: April 8, 2026, 9:40 p.m.