Triple
T8104882
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Plaza de la República |
E189202
|
entity |
| Predicate | cityCenterStatus |
P80476
|
FINISHED |
| Object | major urban landmark |
—
|
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: major urban landmark | Statement: [Plaza de la República, cityCenterStatus, major urban landmark]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: cityCenterStatus Context triple: [Plaza de la República, cityCenterStatus, major urban landmark]
-
A.
cityStatusContext
Indicates the contextual status or role that a city holds within a broader administrative, political, or situational framework.
-
B.
cityStatusUntil
Indicates the period up to a specified time during which a place holds or held a particular city status.
-
C.
urbanRegenerationStatus
Indicates the current stage or condition of efforts to renew, redevelop, or revitalize an urban area.
-
D.
cityService
Indicates that a service is provided by, operates within, or is administered by a particular city.
-
E.
cityDuringConstruction
Indicates that a city exists or is relevant during the time period in which a particular construction activity or project is taking place.
- 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_69ca82b9d5848190a24672775d5c5011 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb42c0ce6481909887be82c8019383 |
completed | March 31, 2026, 3:42 a.m. |
| PD | Predicate disambiguation | batch_69cb04a2ed1c8190b73562321ad688bc |
completed | March 30, 2026, 11:17 p.m. |
| PDg | Predicate description generation | batch_69cb14be17208190bb51c3dfcb613f20 |
completed | March 31, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:31 p.m.