Triple
T530804
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Forbidden City |
E12217
|
entity |
| Predicate | moatWidth |
P16481
|
FINISHED |
| Object | about 52 meters |
—
|
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: about 52 meters | Statement: [Forbidden City, moatWidth, about 52 meters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: moatWidth Context triple: [Forbidden City, moatWidth, about 52 meters]
-
A.
heightOfDome
Indicates the measured vertical extent or elevation of a dome structure from its base to its highest point.
-
B.
majorPortAtMouth
Indicates that a major port is located at the mouth of a river where it meets a larger body of water.
-
C.
hasSpillway
Indicates that a dam or similar water-retaining structure is equipped with a spillway for controlled release or overflow of water.
-
D.
naveHeight
Indicates the vertical distance from the floor to the highest point of the nave space in a building.
-
E.
wingspan
Indicates the distance from the tip of one wing to the tip of the other wing when fully extended.
- 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_69a4933208e88190891f5debab1b776d |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a4985e51908190a34aa82ea9dbee1e |
completed | March 1, 2026, 7:49 p.m. |
| PD | Predicate disambiguation | batch_69a494b257108190a537dffbb9d621b5 |
completed | March 1, 2026, 7:34 p.m. |
| PDg | Predicate description generation | batch_69a49857e1148190aa782b82675cf0b5 |
completed | March 1, 2026, 7:49 p.m. |
Created at: March 1, 2026, 7:32 p.m.