Triple
T24309926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Our Lady of Tortosa |
E612642
|
entity |
| Predicate | modernLocationOfCity |
P155515
|
FINISHED |
| Object | Tartus |
—
|
NE NERFINISHED |
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: Tartus | Statement: [Our Lady of Tortosa, modernLocationOfCity, Tartus]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modernLocationOfCity Context triple: [Our Lady of Tortosa, modernLocationOfCity, Tartus]
-
A.
cityAtTime
Indicates that a specified entity is located in a particular city during a given time or time interval.
-
B.
modernSiteOfCapital
Indicates that the subject location is the present-day site where the capital of the object political entity is situated.
-
C.
historicalLocationOf
Indicates that a place served as a significant site or setting for an entity during a particular historical period or event.
-
D.
historicalCapitalNow
Indicates that a location currently serves as the capital of an entity for which it also held capital status at some point in the past.
-
E.
cityNowKnownAs
Indicates that a city has changed its name and specifies the new name it is currently known by.
- 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_69e2d7d91bb48190bc5377d17a85fb21 |
completed | April 18, 2026, 1:01 a.m. |
| NER | Named-entity recognition | batch_69f29229af3c8190950b70fe5a8dbf6f |
completed | April 29, 2026, 11:20 p.m. |
| PD | Predicate disambiguation | batch_69f1c45c6ec081908401b69424428100 |
completed | April 29, 2026, 8:42 a.m. |
| PDg | Predicate description generation | batch_69f1c6d4e99081909f61899eccafb73e |
completed | April 29, 2026, 8:52 a.m. |
Created at: April 18, 2026, 1:33 a.m.