Triple
T2871390
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ashdod |
E63569
|
entity |
| Predicate | modernCityFounded |
P34191
|
FINISHED |
| Object | 1956 |
—
|
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: 1956 | Statement: [Ashdod, modernCityFounded, 1956]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: modernCityFounded Context triple: [Ashdod, modernCityFounded, 1956]
-
A.
foundedAsCityBy
Indicates that a city was originally established or created by a specific person, group, or authority.
-
B.
cityFoundedOn
chosen
Indicates that a city was established or officially founded on a specific date or point in time.
-
C.
foundedCityOnSiteOf
Indicates that a city was established on the same physical location where another settlement or city previously existed.
-
D.
placeFounded
Indicates the location where an entity (such as an organization or institution) was originally established or founded.
-
E.
isFoundedOn
Indicates that one entity is established, created, or based upon another entity as its foundational source or principle.
- 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_69ab4c42fb8c8190b36e161d47c03b81 |
completed | March 6, 2026, 9:50 p.m. |
| NER | Named-entity recognition | batch_69abdfe46a1c819084399a191f0dfe9c |
completed | March 7, 2026, 8:20 a.m. |
| PD | Predicate disambiguation | batch_69abdd142e4c8190b424cb0c5ff40d04 |
completed | March 7, 2026, 8:08 a.m. |
Created at: March 6, 2026, 10:02 p.m.