Triple
T1536183
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tunnel View |
E32553
|
entity |
| Predicate | hasPanoramicView |
P29603
|
FINISHED |
| Object | yes |
—
|
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: yes | Statement: [Tunnel View, hasPanoramicView, yes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasPanoramicView Context triple: [Tunnel View, hasPanoramicView, yes]
-
A.
hasFieldOfView
Indicates that one entity possesses a visual coverage area within which it can perceive or detect other entities or regions.
-
B.
hasViewingPlatform
Indicates that an entity includes or is equipped with a designated platform or area intended for viewing or observing something.
-
C.
hasAperture
Indicates that one entity possesses or is characterized by a specific opening, gap, or aperture.
-
D.
gimbalCapability
Indicates the ability of a system or device to support and control a gimbal’s movement or stabilization functions.
-
E.
hasPortrait
Indicates that one entity possesses, displays, or is associated with a portrait depicting another entity.
- 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_69a885ea86308190998f6bc14bb91f8e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a915f323bc8190aa757142c225e0ae |
completed | March 5, 2026, 5:34 a.m. |
| PD | Predicate disambiguation | batch_69a907b046448190be8ea4d7b20255f7 |
completed | March 5, 2026, 4:33 a.m. |
| PDg | Predicate description generation | batch_69a915f1694081908f87b509eda1309f |
completed | March 5, 2026, 5:34 a.m. |
Created at: March 4, 2026, 7:26 p.m.