Triple
T24562181
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Incheon Tower site |
E607684
|
entity |
| Predicate | originalProjectStatus |
P70876
|
FINISHED |
| Object | on hold |
—
|
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: on hold | Statement: [Incheon Tower site, originalProjectStatus, on hold]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: originalProjectStatus Context triple: [Incheon Tower site, originalProjectStatus, on hold]
-
A.
statusOfOriginalProject
chosen
Indicates the current state or condition of the original project in relation to its lifecycle or progress.
-
B.
stateProject
Indicates that a project is initiated, funded, or directly administered by a governmental state authority.
-
C.
originalRunStatus
Indicates the initial or prior execution state of a run before any subsequent updates or changes.
-
D.
initialStatus
Indicates the original or starting state assigned to an entity before any changes or updates occur.
-
E.
originalTextStatus
Indicates the relationship between a text and its current state or condition relative to its original, unmodified form.
- F. None of above.
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_69e2c4cc35a48190990b7571bc086df8 |
completed | April 17, 2026, 11:39 p.m. |
| NER | Named-entity recognition | batch_69f2a8f7a244819080596718c21d0df3 |
completed | April 30, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69f2a6b99e7c8190ba7e2dc8729a314a |
completed | April 30, 2026, 12:47 a.m. |
Created at: April 18, 2026, 2:28 a.m.