Triple
T12549183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tokyo Metropolitan Police Department |
E300051
|
entity |
| Predicate | acronym |
P43
|
FINISHED |
| Object | TMPD |
E300051
|
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: TMPD | Statement: [Tokyo Metropolitan Police Department, acronym, TMPD]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: TMPD Context triple: [Tokyo Metropolitan Police Department, acronym, TMPD]
-
A.
TMPD
chosen
TMPD is the acronym for the Tokyo Metropolitan Police Department, the primary law enforcement agency responsible for policing Japan’s capital city and surrounding metropolitan area.
-
B.
TMP
TMP is the IATA airport code for Tampere–Pirkkala Airport in Tampere, Finland.
-
C.
MTPD
MTPD is the law enforcement agency responsible for policing the Washington Metropolitan Area Transit Authority’s transit system, including Metrorail and Metrobus.
-
D.
TND
TND is the Tunisian dinar, the official currency of Tunisia.
-
E.
The Temp
The Temp is a film directed by Tom Holland, best known for his work in the horror genre, including the cult classic Fright Night.
- 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_69d6ada707008190aaec1238117c9379 |
completed | April 8, 2026, 7:33 p.m. |
| NER | Named-entity recognition | batch_69d95482c1348190b6f964decef5cc0a |
completed | April 10, 2026, 7:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f655853ecc8190b178a489d806a0c4 |
completed | May 2, 2026, 7:50 p.m. |
Created at: April 8, 2026, 9:58 p.m.