Triple
T30819169
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Safā and Marwah area |
E784868
|
entity |
| Predicate | numberOfCircuitsRequired |
P64677
|
FINISHED |
| Object | 7 |
—
|
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: 7 | Statement: [Safā and Marwah area, numberOfCircuitsRequired, 7]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfCircuitsRequired Context triple: [Safā and Marwah area, numberOfCircuitsRequired, 7]
-
A.
numberOfCircuits
chosen
Indicates the total count of circuits associated with or contained in a given entity or system.
-
B.
minimumCircuitsRequired
Indicates the smallest number of circuits that must be present or used for a given system, configuration, or requirement to be satisfied.
-
C.
numberOfCircuitsInSystem
Indicates the total count of circuits that exist within a given system.
-
D.
circuitLength
Indicates the total measured length or distance of a circuit or closed path.
-
E.
circuitUsed
Indicates that a particular circuit is utilized or employed in performing an action, process, or function.
- 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_69f224b4eda48190bd212ce4f3901e56 |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_6a00a15604fc8190b1c280794960f3a4 |
completed | May 10, 2026, 3:16 p.m. |
| PD | Predicate disambiguation | batch_6a00a0f7e77881909ac85755ab0e6329 |
completed | May 10, 2026, 3:15 p.m. |
Created at: April 29, 2026, 8:44 p.m.