Triple
T21802450
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pseudonode |
E538269
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object | DIS |
—
|
NE NERFINISHED |
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: DIS | Statement: [Pseudonode, associatedWith, DIS]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: DIS Context triple: [Pseudonode, associatedWith, DIS]
-
A.
DIS
DIS is the station code assigned to MTR Disneyland Resort Station, the dedicated railway stop serving Hong Kong Disneyland.
-
B.
DIS
chosen
DIS is the stock ticker symbol for The Walt Disney Company, a major global entertainment and media conglomerate traded on the New York Stock Exchange.
-
C.
Dis
Dis is the fortified infernal city in Dante Alighieri’s "Inferno," marking the deeper, more grievous circles of Hell.
-
D.
Dis
Dis is an alternate name for Pluto, the Roman god of the underworld and wealth.
-
E.
DISR
DISR is the U.S. Department of Defense’s centralized registry that defines and manages the set of approved information technology standards for use across DoD systems and programs.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c4733f4081909a86622e7e6d15d2 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69f0780062688190a6c3a2a0364f0f77 |
completed | April 28, 2026, 9:04 a.m. |
Created at: April 16, 2026, 6:53 p.m.