Triple
T26942184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | History of Sindh |
E678549
|
entity |
| Predicate | earlyIslamicProvinceName |
P87112
|
FINISHED |
| Object |
AsSindh
AsSindh was the early Islamic-era provincial name used for the historical region of Sindh after its incorporation into the Muslim caliphate.
|
E1746920
|
NE FINISHED |
How this triple was built (3 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: AsSindh | Statement: [History of Sindh, earlyIslamicProvinceName, AsSindh]
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: AsSindh Triple: [History of Sindh, earlyIslamicProvinceName, AsSindh]
Generated description
AsSindh was the early Islamic-era provincial name used for the historical region of Sindh after its incorporation into the Muslim caliphate.
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: earlyIslamicProvinceName Context triple: [History of Sindh, earlyIslamicProvinceName, AsSindh]
-
A.
governedRegionBeforeCaliphate
Indicates that an entity exercised governing authority over a region during a period preceding the establishment of the caliphate.
-
B.
wasIslamicPeriodName
chosen
Indicates that a given name was used or recognized specifically during an Islamic historical period.
-
C.
modernProvinceLocation
Indicates that a historical or former province is located within a specified modern administrative province or region.
-
D.
provinceInAntiquity
Indicates that an entity functioned as a province or provincial territory during an ancient or classical historical period.
-
E.
caliphateLocation
Indicates the geographic place or region where a particular caliphate is or was established.
- F. None of above.
Provenance (6 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_69eeeb4d69588190a7c912164a1c37b3 |
completed | April 27, 2026, 4:51 a.m. |
| NER | Named-entity recognition | batch_69f6352fdb788190b9bad30243690743 |
completed | May 2, 2026, 5:32 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a121ec6e6448190a6a90da394687683 |
completed | May 23, 2026, 9:40 p.m. |
| NEDg | Description generation | batch_6a121f90eec08190bd18be556349e464 |
completed | May 23, 2026, 9:43 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a12205e89f4819098a8901d520e9c7d |
completed | May 23, 2026, 9:47 p.m. |
| PD | Predicate disambiguation | batch_69f631850ae08190a0ba51e4f1e4ccb3 |
completed | May 2, 2026, 5:16 p.m. |
Created at: April 27, 2026, 6:19 a.m.