Triple
T34064958
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dongzhimen |
E873594
|
entity |
| Predicate | cityGateStatus |
P30320
|
FINISHED |
| Object | original gate 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: original gate demolished | Statement: [Dongzhimen, cityGateStatus, original gate demolished]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityGateStatus Context triple: [Dongzhimen, cityGateStatus, original gate demolished]
-
A.
hasCityGateStatus
chosen
Indicates the status or condition of a city gate in relation to a given entity.
-
B.
cityParkStatus
Indicates the current operational or accessibility status of a city park in relation to its governing jurisdiction or management.
-
C.
cityGateTo
Indicates a directional relationship where one location or path leads to or opens into a city gate.
-
D.
cityGatesName
Indicates that a set of city gates bears or is identified by a specific name.
-
E.
cityCenterStatus
Indicates whether a location holds the status of being the central or main area of a city.
- 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_69f349a4af208190afa14888f9c9fb9d |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69f70ba282f88190b9a54a03eb4cbb8a |
completed | May 3, 2026, 8:47 a.m. |
| PD | Predicate disambiguation | batch_69f70ac0170c819098e3b8e41d02efef |
completed | May 3, 2026, 8:43 a.m. |
Created at: May 1, 2026, 1:52 a.m.