Triple
T27721897
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Holtsville station |
E698978
|
entity |
| Predicate | structureStatus |
P162974
|
FINISHED |
| Object | demolished |
—
|
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: demolished | Statement: [Holtsville station, structureStatus, demolished]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: structureStatus Context triple: [Holtsville station, structureStatus, demolished]
-
A.
originalStructureStatus
Indicates the condition or state of an entity’s initial or pre-modified structure relative to its later or current form.
-
B.
notableStructureStatus
Indicates the status or condition of a structure that is considered notable or significant.
-
C.
classStatus
Indicates the current academic or enrollment standing of an entity within a class or course context.
-
D.
statusModel
Indicates that an entity is associated with a particular status representation or status-handling model.
-
E.
statusInSI
Indicates that an entity’s status or condition is specified according to the International System of Units (SI) or an SI-based standard.
- 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_69ef591012dc8190a6f1ec994f9f7ff7 |
completed | April 27, 2026, 12:39 p.m. |
| NER | Named-entity recognition | batch_69f6363c69708190b0db677a5fe46963 |
completed | May 2, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69f62c1a92648190835a2c5250d8c758 |
completed | May 2, 2026, 4:53 p.m. |
| PDg | Predicate description generation | batch_69f6305219f08190b55f6193a4a49984 |
completed | May 2, 2026, 5:11 p.m. |
Created at: April 27, 2026, 3:07 p.m.