Triple
T2211517
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Obelisk (Cleopatra's Needle) |
E50926
|
entity |
| Predicate | yearOfErectionInCentralPark |
P36812
|
FINISHED |
| Object | 1881 |
—
|
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: 1881 | Statement: [The Obelisk (Cleopatra's Needle), yearOfErectionInCentralPark, 1881]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: yearOfErectionInCentralPark Context triple: [The Obelisk (Cleopatra's Needle), yearOfErectionInCentralPark, 1881]
-
A.
buildingInaugurationDate
Indicates the date on which a building was formally opened or inaugurated.
-
B.
yearOfOrganInstallation
Indicates the year in which an organ was installed at a particular location or in a particular instrument.
-
C.
estimatedYearOfCreation
Indicates the year in which something is believed or approximated to have been created, rather than a precisely known creation year.
-
D.
isLargestUrbanParkIn
Indicates that one entity is the largest urban park within the boundaries or context of another specified entity (such as a city or region).
-
E.
hasClockTower
Indicates that one entity possesses or features a clock tower as part of its structure or property.
- 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_69a88b06709c8190978fb2418470d1b6 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abbfecea6c8190b762bbfda8490e31 |
completed | March 7, 2026, 6:04 a.m. |
| PD | Predicate disambiguation | batch_69abbdaa26d48190860c33fd464c4845 |
completed | March 7, 2026, 5:54 a.m. |
| PDg | Predicate description generation | batch_69abbf0c2b8881908553eed5be17a9c2 |
completed | March 7, 2026, 6 a.m. |
Created at: March 4, 2026, 7:46 p.m.