Triple
T4812435
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | InterContinental Mark Hopkins Hotel |
E107102
|
entity |
| Predicate | SanFranciscoLandmarkNumber |
P59771
|
FINISHED |
| Object | 70 |
—
|
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: 70 | Statement: [InterContinental Mark Hopkins Hotel, SanFranciscoLandmarkNumber, 70]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: SanFranciscoLandmarkNumber Context triple: [InterContinental Mark Hopkins Hotel, SanFranciscoLandmarkNumber, 70]
-
A.
SanFranciscoManager
Indicates that an entity serves as a manager whose role or position is specifically associated with San Francisco.
-
B.
CaliforniaHistoricalLandmarkNumber
Indicates that an entity has been assigned a specific official California Historical Landmark identification number.
-
C.
NYCLandmarkID
Indicates that an entity has been designated as a New York City landmark and is associated with a specific official NYC landmark identification number.
-
D.
directionFromSanFrancisco
Indicates the compass direction in which one location lies relative to San Francisco.
-
E.
LosAngelesHistoricCulturalMonumentNumber
Indicates that an entity has been designated as a Los Angeles Historic-Cultural Monument and specifies its official monument number in that registry.
- 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_69bd43f779448190b92885cb70abb6c2 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6ddd17d881909f7731ff2b460e83 |
completed | March 20, 2026, 3:55 p.m. |
| PD | Predicate disambiguation | batch_69bd6c1dfa3481909d240d50ed0ee38c |
completed | March 20, 2026, 3:47 p.m. |
| PDg | Predicate description generation | batch_69bd6dda5e808190a26ec85e4499d8e4 |
completed | March 20, 2026, 3:55 p.m. |
Created at: March 20, 2026, 1:23 p.m.