Triple
T26554234
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Suan Dok Gate |
E671758
|
entity |
| Predicate | hasCityWallOrientation |
P167748
|
FINISHED |
| Object | western wall |
—
|
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: western wall | Statement: [Suan Dok Gate, hasCityWallOrientation, western wall]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCityWallOrientation Context triple: [Suan Dok Gate, hasCityWallOrientation, western wall]
-
A.
hasCityWallName
Indicates that a city wall is associated with a specific name or designation.
-
B.
hasCityWallFunction
Indicates that an entity serves the functional role of a city wall, such as providing defense, enclosure, or boundary protection for an urban area.
-
C.
hasCityWallsFrom
Indicates that a city’s defensive walls originate from, or were constructed starting at, a specified source location or structure.
-
D.
hasCityWallGates
Indicates that a city wall includes one or more gates that provide passage through it.
-
E.
hasCityWallHeight
Indicates the height measurement of a city’s defensive wall.
- 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_69eeb32163f08190af5f81282738e27a |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f66cf092c881908d7034c9c2bc61d5 |
completed | May 2, 2026, 9:30 p.m. |
| PD | Predicate disambiguation | batch_69f66abddc448190a488852f8abdeb2c |
completed | May 2, 2026, 9:21 p.m. |
| PDg | Predicate description generation | batch_69f66c59de9881909ebbb7b0ae7ab495 |
completed | May 2, 2026, 9:27 p.m. |
Created at: April 27, 2026, 1:49 a.m.