Triple
T36916720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | New Minya |
E913062
|
entity |
| Predicate | aimsToRelievePressureFrom |
P12480
|
FINISHED |
| Object | existing city of Minya |
—
|
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: existing city of Minya | Statement: [New Minya, aimsToRelievePressureFrom, existing city of Minya]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: aimsToRelievePressureFrom Context triple: [New Minya, aimsToRelievePressureFrom, existing city of Minya]
-
A.
hasHumanPressure
Indicates that one entity exerts or experiences human-induced influence, stress, or impact in relation to another entity or environment.
-
B.
relievedBy
chosen
Indicates that one entity eases, reduces, or removes the burden, pain, stress, or responsibility experienced by another entity.
-
C.
hasReliefsFrom
Indicates that one entity experiences a reduction or alleviation of symptoms, problems, or burdens as a result of another entity.
-
D.
pressureCapability
Indicates the maximum pressure an entity can safely exert, withstand, or operate under within a given context.
-
E.
hasRelief
Indicates that one entity features or exhibits a raised or sculpted surface design (relief) in relation to another entity or context.
- 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_69f76e885b848190bad82c87e9525486 |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fb55ad44bc8190a802bdaab36adc94 |
completed | May 6, 2026, 2:52 p.m. |
| PD | Predicate disambiguation | batch_69f7cf79ddb08190a083405cccc14137 |
completed | May 3, 2026, 10:43 p.m. |
Created at: May 3, 2026, 4:13 p.m.