Triple
T34875828
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casbah of Algiers |
E1005876
|
entity |
| Predicate | numberOfStoreysTypicalHouse |
P205591
|
FINISHED |
| Object | 2–3 |
—
|
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: 2–3 | Statement: [Casbah of Algiers, numberOfStoreysTypicalHouse, 2–3]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfStoreysTypicalHouse Context triple: [Casbah of Algiers, numberOfStoreysTypicalHouse, 2–3]
-
A.
typicalHouse
Indicates that something is a standard or representative example of a house in terms of its usual features, structure, or characteristics.
-
B.
numberOfHouses
Indicates the quantity of houses associated with a given entity or context.
-
C.
typicalHouseSeatCount
Indicates the usual or standard number of seats found in a typical house.
-
D.
numberOfMainHouses
Indicates the quantity of primary or main residential houses associated with an entity.
-
E.
symbolicStoreysCount
Indicates the number of storeys or levels represented symbolically for a given entity or structure.
- 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_69f76dbde1c08190a24e7f9beb564c8d |
completed | May 3, 2026, 3:46 p.m. |
| NER | Named-entity recognition | batch_6a037c92f03c8190ae2751270b195423 |
completed | May 12, 2026, 7:16 p.m. |
| PD | Predicate disambiguation | batch_6a0379ff1ba081908eda86acefcf69fb |
completed | May 12, 2026, 7:05 p.m. |
| PDg | Predicate description generation | batch_6a037c80ba448190853011097a151b7e |
completed | May 12, 2026, 7:16 p.m. |
Created at: May 3, 2026, 4 p.m.